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Neural Networks And Soft Computing

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Neural Networks and Soft Computing

Neural Networks and Soft Computing [Pdf/ePub] eBook Author:
Editor: Springer Science & Business Media
ISBN-10: 3790819026
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Neural Networks and Soft Computing by Book Summary:

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

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Neural Networks in a Softcomputing Framework

Neural Networks in a Softcomputing Framework [Pdf/ePub] eBook Author: Ke-Lin Du,M.N.S. Swamy
Editor: Springer Science & Business Media
ISBN-10: 1846283035
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Neural Networks in a Softcomputing Framework by Ke-Lin Du,M.N.S. Swamy Book Summary:

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Download or read Neural Networks in a Softcomputing Framework book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.


Soft Computing

Soft Computing [Pdf/ePub] eBook Author: Andrea Tettamanzi,Marco Tomassini
Editor: Springer Science & Business Media
ISBN-10: 3662043351
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Soft Computing by Andrea Tettamanzi,Marco Tomassini Book Summary:

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as

Download or read Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as


Type-2 Fuzzy Neural Networks and Their Applications

Type-2 Fuzzy Neural Networks and Their Applications [Pdf/ePub] eBook Author: Rafik Aziz Aliev,Babek Ghalib Guirimov
Editor: Springer
ISBN-10: 3319090720
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Type-2 Fuzzy Neural Networks and Their Applications by Rafik Aziz Aliev,Babek Ghalib Guirimov Book Summary:

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Download or read Type-2 Fuzzy Neural Networks and Their Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.


Pattern Recognition in Soft Computing Paradigm

Pattern Recognition in Soft Computing Paradigm [Pdf/ePub] eBook Author: Nikhil R Pal
Editor: World Scientific
ISBN-10: 9814491926
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Pattern Recognition in Soft Computing Paradigm by Nikhil R Pal Book Summary:

Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing. Contents:Dimensionality Reduction Techniques for Interactive Visualization, Exploratory Data Analysis, and Classification (A König)Feature Selection by Artificial Neural Network for Pattern Classification (B Chakraborty)A New Clustering with Estimation of Cluster Number Based on Genetic Algorithm (K Imai et al.)Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network-Based Classifiers (H Ishibuchi & M Nii)Extraction of Fuzzy Rules from Numerical Data for Classifiers (N R Pal & A Sarkar)A Texture Image Segmentation Method Using Neural Networks and Binary Features (J Zhang & S Oe)Image Retrieval System Based on Subjective Information (K Yoshida et al.)and other papers Readership: Graduate students, researchers and lecturers in pattern recognition and image analysis. Keywords:Soft Computing;Pattern Recognition;Image Processing;Feature Analysis;Dimensionality Reduction;Data Visualization;Soft Clustering;Classifier Design;Image Analysis;Feature Selection;Cluster Validity;Genetic Algorithm;Neural Network;Shape Analysis;Medical Diagnosis;Interval Arithmatic;Rule Based Classifier;Genetic Programming;Texture Segmentation;Texture Analysis;Image Retrieval;Exploratory Data Analysis;Interactive Visualization;Ocean Water Classification;Self-Organizing Map;Associative Classification;Shape Recognition;Non-Linear Discriminant Analysis;Retrieval Using Subjective Information;Binary Features

Download or read Pattern Recognition in Soft Computing Paradigm book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing. Contents:Dimensionality Reduction Techniques for Interactive Visualization, Exploratory Data Analysis, and Classification (A König)Feature Selection by Artificial Neural Network for Pattern Classification (B Chakraborty)A New Clustering with Estimation of Cluster Number Based on Genetic Algorithm (K Imai et al.)Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network-Based Classifiers (H Ishibuchi & M Nii)Extraction of Fuzzy Rules from Numerical Data for Classifiers (N R Pal & A Sarkar)A Texture Image Segmentation Method Using Neural Networks and Binary Features (J Zhang & S Oe)Image Retrieval System Based on Subjective Information (K Yoshida et al.)and other papers Readership: Graduate students, researchers and lecturers in pattern recognition and image analysis. Keywords:Soft Computing;Pattern Recognition;Image Processing;Feature Analysis;Dimensionality Reduction;Data Visualization;Soft Clustering;Classifier Design;Image Analysis;Feature Selection;Cluster Validity;Genetic Algorithm;Neural Network;Shape Analysis;Medical Diagnosis;Interval Arithmatic;Rule Based Classifier;Genetic Programming;Texture Segmentation;Texture Analysis;Image Retrieval;Exploratory Data Analysis;Interactive Visualization;Ocean Water Classification;Self-Organizing Map;Associative Classification;Shape Recognition;Non-Linear Discriminant Analysis;Retrieval Using Subjective Information;Binary Features


Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing [Pdf/ePub] eBook Author: Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Editor: Springer Nature
ISBN-10: 3030614018
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Artificial Intelligence and Soft Computing by Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada Book Summary:

The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.

Download or read Artificial Intelligence and Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.


Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Analysis and Design of Intelligent Systems Using Soft Computing Techniques [Pdf/ePub] eBook Author: Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Editor: Springer Science & Business Media
ISBN-10: 354072432X
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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Book Summary:

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Download or read Analysis and Design of Intelligent Systems Using Soft Computing Techniques book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.


Real Life Applications of Soft Computing

Real Life Applications of Soft Computing [Pdf/ePub] eBook Author: Anupam Shukla,Ritu Tiwari,Rahul Kala
Editor: CRC Press
ISBN-10: 9781439822890
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Real Life Applications of Soft Computing by Anupam Shukla,Ritu Tiwari,Rahul Kala Book Summary:

Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including those in biometric identification, interactive voice response systems, and data mining. Although many resources on the subject adequately cover the theoretic concepts, few provide clear insight into practical application. Filling this need, Real Life Applications of Soft Computing explains such applications, including the underlying technology and its implementation. While these systems initially seem complex, the authors clearly demonstrate how they can be modeled, designed, and implemented. Written in a manner that makes it accessible to novices, the book begins by covering the theoretical foundations of soft computing. It supplies a concise explanation of various models, principles, algorithms, tools, and techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid algorithms. Supplying in-depth exposure to real life systems, the text provides: Multi-dimensional coverage supported by references, figures, and tables Warnings about common pitfalls in the implementation process, as well as detailed examinations of possible solutions A timely account of developments in various areas of application Solved examples and exercises in each chapter Detailing a wide range of contemporary applications, the text includes coverage of those in biometric systems, including physiological and behavioral biometrics. It also examines applications in legal threat assessment, robotic path planning, and navigation control. The authors consider fusion methods in biometrics and bioinformatics and also provide effective disease identification techniques. Complete with algorithms for robotic path planning, the book addresses character recognition and presents the picture compression technique by using a customized hybrid algorithm. The authors conclude with a discussion of parallel architecture for artificial neural networks and supply guidelines for creating and implementing effective soft computing designs.

Download or read Real Life Applications of Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including those in biometric identification, interactive voice response systems, and data mining. Although many resources on the subject adequately cover the theoretic concepts, few provide clear insight into practical application. Filling this need, Real Life Applications of Soft Computing explains such applications, including the underlying technology and its implementation. While these systems initially seem complex, the authors clearly demonstrate how they can be modeled, designed, and implemented. Written in a manner that makes it accessible to novices, the book begins by covering the theoretical foundations of soft computing. It supplies a concise explanation of various models, principles, algorithms, tools, and techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid algorithms. Supplying in-depth exposure to real life systems, the text provides: Multi-dimensional coverage supported by references, figures, and tables Warnings about common pitfalls in the implementation process, as well as detailed examinations of possible solutions A timely account of developments in various areas of application Solved examples and exercises in each chapter Detailing a wide range of contemporary applications, the text includes coverage of those in biometric systems, including physiological and behavioral biometrics. It also examines applications in legal threat assessment, robotic path planning, and navigation control. The authors consider fusion methods in biometrics and bioinformatics and also provide effective disease identification techniques. Complete with algorithms for robotic path planning, the book addresses character recognition and presents the picture compression technique by using a customized hybrid algorithm. The authors conclude with a discussion of parallel architecture for artificial neural networks and supply guidelines for creating and implementing effective soft computing designs.


Applications and Science in Soft Computing

Applications and Science in Soft Computing [Pdf/ePub] eBook Author: Ahmad Lotfi,Jonathan M. Garibaldi
Editor: Springer Science & Business Media
ISBN-10: 3540452400
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Applications and Science in Soft Computing by Ahmad Lotfi,Jonathan M. Garibaldi Book Summary:

Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.

Download or read Applications and Science in Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.


Soft Computing and Its Applications

Soft Computing and Its Applications [Pdf/ePub] eBook Author: R A Aliev,R R Aliev
Editor: World Scientific Publishing Company
ISBN-10: 9813105879
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Soft Computing and Its Applications by R A Aliev,R R Aliev Book Summary:

The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.

Download or read Soft Computing and Its Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.


Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms [Pdf/ePub] eBook Author: David W. Pearson,Nigel C. Steele,Rudolf Albrecht
Editor: Springer Science & Business Media
ISBN-10: 370910646X
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Artificial Neural Nets and Genetic Algorithms by David W. Pearson,Nigel C. Steele,Rudolf Albrecht Book Summary:

The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European coun tries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutionary computation theory, genetic algorithm and evolutionary computation applications, fuzzy and soft computing theory, fuzzy and soft computing applications.

Download or read Artificial Neural Nets and Genetic Algorithms book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European coun tries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutionary computation theory, genetic algorithm and evolutionary computation applications, fuzzy and soft computing theory, fuzzy and soft computing applications.


Compensatory Genetic Fuzzy Neural Networks and Their Applications

Compensatory Genetic Fuzzy Neural Networks and Their Applications [Pdf/ePub] eBook Author: Yanqing Zhang,Abraham Kandel
Editor: World Scientific
ISBN-10: 981449657X
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Compensatory Genetic Fuzzy Neural Networks and Their Applications by Yanqing Zhang,Abraham Kandel Book Summary:

This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques. Contents:Fuzzy Compensation PrinciplesNormal Fuzzy Reasoning MethodologyCompensatory Genetic Fuzzy Neural NetworksFuzzy Knowledge Rediscovery in Fuzzy Rule BasesFuzzy Cart-Pole Balancing Control SystemsFuzzy Knowledge Compression and ExpansionHighly Nonlinear System Modeling and PredictionFuzzy Moves in Fuzzy GamesGenetic Neuro-Fuzzy Pattern RecognitionConstructive Approach to Modeling Fuzzy Systems Readership: Graduate students, researchers and experts in fuzzy logic, neural networks and genetic algorithms, and their applications. Keywords:Neural Networks;Fuzzy Logic;Genetic Algorithms;Evolutionary Computation;Granular Computing;Pattern Recognition;Data Mining;Knowledge Discovery;Nonlinear System Modeling;Game Theory;Control;Uncertainty Management;Decision Making;Compensatory Genetic Fuzzy Neural Networks

Download or read Compensatory Genetic Fuzzy Neural Networks and Their Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques. Contents:Fuzzy Compensation PrinciplesNormal Fuzzy Reasoning MethodologyCompensatory Genetic Fuzzy Neural NetworksFuzzy Knowledge Rediscovery in Fuzzy Rule BasesFuzzy Cart-Pole Balancing Control SystemsFuzzy Knowledge Compression and ExpansionHighly Nonlinear System Modeling and PredictionFuzzy Moves in Fuzzy GamesGenetic Neuro-Fuzzy Pattern RecognitionConstructive Approach to Modeling Fuzzy Systems Readership: Graduate students, researchers and experts in fuzzy logic, neural networks and genetic algorithms, and their applications. Keywords:Neural Networks;Fuzzy Logic;Genetic Algorithms;Evolutionary Computation;Granular Computing;Pattern Recognition;Data Mining;Knowledge Discovery;Nonlinear System Modeling;Game Theory;Control;Uncertainty Management;Decision Making;Compensatory Genetic Fuzzy Neural Networks


Soft Computing for Reservoir Characterization and Modeling

Soft Computing for Reservoir Characterization and Modeling [Pdf/ePub] eBook Author: Patrick Wong,Fred Aminzadeh,Masoud Nikravesh
Editor: Physica
ISBN-10: 3790818070
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Soft Computing for Reservoir Characterization and Modeling by Patrick Wong,Fred Aminzadeh,Masoud Nikravesh Book Summary:

In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, "40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools," Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, "TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. " Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. " I really like two particular ones: "Principle 1: Segmentation," and Principle 15: Dynamicity. " "Segmentation" shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.

Download or read Soft Computing for Reservoir Characterization and Modeling book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, "40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools," Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, "TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. " Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. " I really like two particular ones: "Principle 1: Segmentation," and Principle 15: Dynamicity. " "Segmentation" shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.


Soft Computing

Soft Computing [Pdf/ePub] eBook Author: Luigi Fortuna,Gianguido Rizzotto,Mario Lavorgna,Giuseppe Nunnari,Maria Gabriella Xibilia,Riccardo Caponetto
Editor: Springer Science & Business Media
ISBN-10: 1447103572
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Soft Computing by Luigi Fortuna,Gianguido Rizzotto,Mario Lavorgna,Giuseppe Nunnari,Maria Gabriella Xibilia,Riccardo Caponetto Book Summary:

The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.

Download or read Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.


Artificial Intelligence and Soft Computing – ICAISC 2006

Artificial Intelligence and Soft Computing – ICAISC 2006 [Pdf/ePub] eBook Author: Leszek Rutkowski,Ryszard Tadeusiewicz,Lotfi A. Zadeh,Jacek Zurada
Editor: Springer
ISBN-10: 3540357505
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Artificial Intelligence and Soft Computing – ICAISC 2006 by Leszek Rutkowski,Ryszard Tadeusiewicz,Lotfi A. Zadeh,Jacek Zurada Book Summary:

This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, held in Zakopane, Poland, in June 2006. The 128 revised contributed papers presented are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, rough sets, classification and clustering, image analysis and robotics, bioinformatics and medical applications, various problems of artificial intelligence.

Download or read Artificial Intelligence and Soft Computing – ICAISC 2006 book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, held in Zakopane, Poland, in June 2006. The 128 revised contributed papers presented are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, rough sets, classification and clustering, image analysis and robotics, bioinformatics and medical applications, various problems of artificial intelligence.


Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Computational Intelligence and Soft Computing Applications in Healthcare Management Science [Pdf/ePub] eBook Author: Gul, Muhammet,Celik, Erkan,Mete, Suleyman,Serin, Faruk
Editor: IGI Global
ISBN-10: 1799825825
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Computational Intelligence and Soft Computing Applications in Healthcare Management Science by Gul, Muhammet,Celik, Erkan,Mete, Suleyman,Serin, Faruk Book Summary:

In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Download or read Computational Intelligence and Soft Computing Applications in Healthcare Management Science book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.


Advances in Intelligent Automation and Soft Computing

Advances in Intelligent Automation and Soft Computing [Pdf/ePub] eBook Author: Xiaolong Li
Editor: Springer Nature
ISBN-10: 3030810070
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Advances in Intelligent Automation and Soft Computing by Xiaolong Li Book Summary:

This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing.

Download or read Advances in Intelligent Automation and Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing.


Concepts of Soft Computing

Concepts of Soft Computing [Pdf/ePub] eBook Author: Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Rani Mahato
Editor: Springer
ISBN-10: 9811374309
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Concepts of Soft Computing by Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Rani Mahato Book Summary:

This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases

Download or read Concepts of Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases


Foundations of Fuzzy Logic and Soft Computing

Foundations of Fuzzy Logic and Soft Computing [Pdf/ePub] eBook Author: Patricia Melin,Oscar Castillo,Luis T. Aguilar,Witold Pedrycz
Editor: Springer Science & Business Media
ISBN-10: 354072950X
Size: 1184 kb
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Foundations of Fuzzy Logic and Soft Computing by Patricia Melin,Oscar Castillo,Luis T. Aguilar,Witold Pedrycz Book Summary:

This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. Coverage includes the application of fuzzy logic and soft computing in flexible querying, philosophical and human-scientific aspects of soft computing, search engine and information processing and retrieval, as well as intelligent agents and knowledge ant colony.

Download or read Foundations of Fuzzy Logic and Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. Coverage includes the application of fuzzy logic and soft computing in flexible querying, philosophical and human-scientific aspects of soft computing, search engine and information processing and retrieval, as well as intelligent agents and knowledge ant colony.


Soft Computing Methods for Practical Environment Solutions: Techniques and Studies

Soft Computing Methods for Practical Environment Solutions: Techniques and Studies [Pdf/ePub] eBook Author: Gestal Pose, Marcos,Rivero Cebri n, Daniel
Editor: IGI Global
ISBN-10: 1615208941
Size: 1883 kb
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Soft Computing Methods for Practical Environment Solutions: Techniques and Studies by Gestal Pose, Marcos,Rivero Cebri n, Daniel Book Summary:

"This publication presents a series of practical applications of different Soft Computing techniques to real-world problems, showing the enormous potential of these techniques in solving problems"--Provided by publisher.

Download or read Soft Computing Methods for Practical Environment Solutions: Techniques and Studies book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). "This publication presents a series of practical applications of different Soft Computing techniques to real-world problems, showing the enormous potential of these techniques in solving problems"--Provided by publisher.


Soft Computing and Signal Processing

Soft Computing and Signal Processing [Pdf/ePub] eBook Author: V. Sivakumar Reddy,V. Kamakshi Prasad,Jiacun Wang,K. T. V. Reddy
Editor: Springer Nature
ISBN-10: 9813369124
Size: 1310 kb
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Soft Computing and Signal Processing by V. Sivakumar Reddy,V. Kamakshi Prasad,Jiacun Wang,K. T. V. Reddy Book Summary:

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Download or read Soft Computing and Signal Processing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.


Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools [Pdf/ePub] eBook Author: József Dombi,Orsolya Csiszár
Editor: Springer Nature
ISBN-10: 3030722805
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools by József Dombi,Orsolya Csiszár Book Summary:

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Download or read Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.


FUNDAMENTAL OF SOFT COMPUTING

FUNDAMENTAL OF SOFT COMPUTING [Pdf/ePub] eBook Author: Kuntal Barua/Prof Prasun Chakrabarti
Editor: BPB Publications
ISBN-10: 9387284778
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FUNDAMENTAL OF SOFT COMPUTING by Kuntal Barua/Prof Prasun Chakrabarti Book Summary:

Description:This book is going to be the first well organized book for soft computing, including all the three major constituents or aspect of soft computing (neural networks, fuzzy logic and evolutionary computation), and hopefully will be proved beneficial for both kind of people; those striving to gain knowledge and those striving to score grades. The book is comprised of each and every topic of soft computing is a vast field of artificial intelligence with very much exploration to real time problems, especially regarding the quench of decision making and automation in the leading AI industries.Key Features:Comprehensive coverage of various aspects of soft computing concepts.Artificial intelligence, Neuro computing, Fuzzy logic Evolutionary computation.Strictly in accordance for the syllabus coverd under UG, PG, and Doctoral courses. (B.E. / B. Tech./ MCA/ M. Tech/ Research Scholars)Simple language, crystal clear approach, straight forward comprehensible presentation.The concepts are duly supported by several examples.Important question papers for every chapters.Table of contents:Chapter 1: Introduction to Neuro-computingChapter 2: Training the Neural networksChapter 3: The unsupervised networksChapter 4: The fuzzy logicChapter 5: The Evolutionary computationChapter 6: Few Auxiliary algorithms

Download or read FUNDAMENTAL OF SOFT COMPUTING book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Description:This book is going to be the first well organized book for soft computing, including all the three major constituents or aspect of soft computing (neural networks, fuzzy logic and evolutionary computation), and hopefully will be proved beneficial for both kind of people; those striving to gain knowledge and those striving to score grades. The book is comprised of each and every topic of soft computing is a vast field of artificial intelligence with very much exploration to real time problems, especially regarding the quench of decision making and automation in the leading AI industries.Key Features:Comprehensive coverage of various aspects of soft computing concepts.Artificial intelligence, Neuro computing, Fuzzy logic Evolutionary computation.Strictly in accordance for the syllabus coverd under UG, PG, and Doctoral courses. (B.E. / B. Tech./ MCA/ M. Tech/ Research Scholars)Simple language, crystal clear approach, straight forward comprehensible presentation.The concepts are duly supported by several examples.Important question papers for every chapters.Table of contents:Chapter 1: Introduction to Neuro-computingChapter 2: Training the Neural networksChapter 3: The unsupervised networksChapter 4: The fuzzy logicChapter 5: The Evolutionary computationChapter 6: Few Auxiliary algorithms


Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications [Pdf/ePub] eBook Author: Suresh, Annamalai,Udendhran, R.,Vimal, S.
Editor: IGI Global
ISBN-10: 1799835928
Size: 584 kb
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications by Suresh, Annamalai,Udendhran, R.,Vimal, S. Book Summary:

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Download or read Deep Neural Networks for Multimodal Imaging and Biomedical Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.


Engineering Applications of Neural Networks

Engineering Applications of Neural Networks [Pdf/ePub] eBook Author: Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
Editor: Springer
ISBN-10: 3642410138
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Engineering Applications of Neural Networks by Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne Book Summary:

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Download or read Engineering Applications of Neural Networks book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.


Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining [Pdf/ePub] eBook Author: Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy
Editor: Springer Nature
ISBN-10: 3030360563
Size: 1271 kb
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Recent Advances on Soft Computing and Data Mining by Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris,Jemal H. Abawajy Book Summary:

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.

Download or read Recent Advances on Soft Computing and Data Mining book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.


Rough-Neural Computing

Rough-Neural Computing [Pdf/ePub] eBook Author: Sankar Kumar Pal,Lech Polkowski
Editor: Springer Science & Business Media
ISBN-10: 3642188591
Size: 468 kb
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Rough-Neural Computing by Sankar Kumar Pal,Lech Polkowski Book Summary:

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

Download or read Rough-Neural Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.


The Sixth International Symposium on Neural Networks (ISNN 2009)

The Sixth International Symposium on Neural Networks (ISNN 2009) [Pdf/ePub] eBook Author: Hongwei Wang,Yi Shen,Tingwen Huang,Zhigang Zeng
Editor: Springer Science & Business Media
ISBN-10: 3642012167
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The Sixth International Symposium on Neural Networks (ISNN 2009) by Hongwei Wang,Yi Shen,Tingwen Huang,Zhigang Zeng Book Summary:

This volume of Advances in Soft Computing and Lecture Notes in Computer th Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6 Inter- tional Symposium of Neural Networks (ISNN 2009) held in Wuhan, China during May 26–29, 2009. ISNN is a prestigious annual symposium on neural networks with past events held in Dalian (2004), Chongqing (2005), Chengdu (2006), N- jing (2007) and Beijing (2008). Over the past few years, ISNN has matured into a well-established series of international conference on neural networks and their applications to other fields. Following this tradition, ISNN 2009 provided an a- demic forum for the participants to disseminate their new research findings and discuss emerging areas of research. Also, it created a stimulating environment for the participants to interact and exchange information on future research challenges and opportunities of neural networks and their applications. ISNN 2009 received 1,235 submissions from about 2,459 authors in 29 co- tries and regions (Australia, Brazil, Canada, China, Democratic People's Republic of Korea, Finland, Germany, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Macao, Malaysia, Mexico, Norway, Qatar, Republic of Korea, Singapore, Spain, Taiwan, Thailand, Tunisia, United Kingdom, United States, Venezuela, Vietnam, and Yemen) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews by the Program Committee members and reviewers, 95 high-quality papers were selected to be published in this volume.

Download or read The Sixth International Symposium on Neural Networks (ISNN 2009) book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This volume of Advances in Soft Computing and Lecture Notes in Computer th Science vols. 5551, 5552 and 5553, constitute the Proceedings of the 6 Inter- tional Symposium of Neural Networks (ISNN 2009) held in Wuhan, China during May 26–29, 2009. ISNN is a prestigious annual symposium on neural networks with past events held in Dalian (2004), Chongqing (2005), Chengdu (2006), N- jing (2007) and Beijing (2008). Over the past few years, ISNN has matured into a well-established series of international conference on neural networks and their applications to other fields. Following this tradition, ISNN 2009 provided an a- demic forum for the participants to disseminate their new research findings and discuss emerging areas of research. Also, it created a stimulating environment for the participants to interact and exchange information on future research challenges and opportunities of neural networks and their applications. ISNN 2009 received 1,235 submissions from about 2,459 authors in 29 co- tries and regions (Australia, Brazil, Canada, China, Democratic People's Republic of Korea, Finland, Germany, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Macao, Malaysia, Mexico, Norway, Qatar, Republic of Korea, Singapore, Spain, Taiwan, Thailand, Tunisia, United Kingdom, United States, Venezuela, Vietnam, and Yemen) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews by the Program Committee members and reviewers, 95 high-quality papers were selected to be published in this volume.


Applications of Soft Computing

Applications of Soft Computing [Pdf/ePub] eBook Author: Erel Avineri,Mario Köppen,Keshav Dahal,Yos Sunitiyoso,Rajkumar Roy
Editor: Springer Science & Business Media
ISBN-10: 3540880798
Size: 890 kb
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Applications of Soft Computing by Erel Avineri,Mario Köppen,Keshav Dahal,Yos Sunitiyoso,Rajkumar Roy Book Summary:

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

Download or read Applications of Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.


Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing [Pdf/ePub] eBook Author: Oscar Castillo,Patricia Melin,Oscar Montiel Ross,Roberto Sepúlveda Cruz,Witold Pedrycz
Editor: Springer Science & Business Media
ISBN-10: 3540724346
Size: 1337 kb
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Theoretical Advances and Applications of Fuzzy Logic and Soft Computing by Oscar Castillo,Patricia Melin,Oscar Montiel Ross,Roberto Sepúlveda Cruz,Witold Pedrycz Book Summary:

This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Download or read Theoretical Advances and Applications of Fuzzy Logic and Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.


Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining [Pdf/ePub] eBook Author: Tutut Herawan,Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris
Editor: Springer
ISBN-10: 3319512811
Size: 1981 kb
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Recent Advances on Soft Computing and Data Mining by Tutut Herawan,Rozaida Ghazali,Nazri Mohd Nawi,Mustafa Mat Deris Book Summary:

This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.

Download or read Recent Advances on Soft Computing and Data Mining book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data. The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.


Artificial intelligence and Soft computing

Artificial intelligence and Soft computing [Pdf/ePub] eBook Author: Pradeep Sharma,Abhishek Raghuvanshi,Ruchika Pachori
Editor: Educreation Publishing
ISBN-10:
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Artificial intelligence and Soft computing by Pradeep Sharma,Abhishek Raghuvanshi,Ruchika Pachori Book Summary:

This book is prepared for the engineering students pursuing degree in computer science and information technology branch. The main consideration in writing the book is to present the considerable requirements of the syllabus in a simple manner as possible. This book contains many solved examples which will help student to gain confidence in problem solving. Valuable suggestion is heartily welcome for further improvement of this book

Download or read Artificial intelligence and Soft computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book is prepared for the engineering students pursuing degree in computer science and information technology branch. The main consideration in writing the book is to present the considerable requirements of the syllabus in a simple manner as possible. This book contains many solved examples which will help student to gain confidence in problem solving. Valuable suggestion is heartily welcome for further improvement of this book


NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS

NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS [Pdf/ePub] eBook Author: S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI
Editor: PHI Learning Pvt. Ltd.
ISBN-10: 812035334X
Size: 750 kb
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NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS by S. RAJASEKARAN,G.A. VIJAYALAKSHMI PAI Book Summary:

The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Download or read NEURAL NETWORKS, FUZZY SYSTEMS AND EVOLUTIONARY ALGORITHMS : SYNTHESIS AND APPLICATIONS book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.


Genetic Algorithms and Fuzzy Logic Systems

Genetic Algorithms and Fuzzy Logic Systems [Pdf/ePub] eBook Author: Elie Sanchez,Takanori Shibata,Lotfi A Zadeh
Editor: World Scientific
ISBN-10: 9814499803
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Genetic Algorithms and Fuzzy Logic Systems by Elie Sanchez,Takanori Shibata,Lotfi A Zadeh Book Summary:

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms. Contents:Foreword (L Davies)Preface (E Sanchez, T Shibata & L A Zadeh)Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms (C Philips, C L Karr & G W Walker)Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator (T Shibata)A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm (T Hashiyama, T Furuhashi & Y Uchikawa)Automatic Fuzzy Tuning and Its Applications (H Ishigami, T Fukuda, T Shibata)An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor (R Poluzzi, G G Rizzotto & A G B Tettamanzi)On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation (H Bersini)Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms (C-T Sun & J-S Jang)Intelligent Systems for Fraud Detection (J Kingdon)Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback (D H Kraft, F E Petry, B P Buckles & T Sadasivan)Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search (K Nishio, M Murakami, E Mizutani & N Honda)An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain (H S Lopes, M S Coutinho & W C de Lima)A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989–1995 (O Cordón, F Herrera & M Lozano) Readership: Mechanical, systems & knowledge, and control engineers; computer scientists in databases; and researchers in genetic algorithms, fuzzy logic systems, soft computing, artificial intelligence, neural networks, fuzzy logic control, robotics, classification, banking, information retrieval, and medicine. keywords:Genetic Algorithms;Evolutionary Algorithms;Fuzzy Logic Systems;Fuzzy Logic Control;Learning;Fuzzy-Neural Networks;Learning;Soft Computing “This volume displays the power of evolutionary algorithms when combined with fuzzy logic. These are exciting times in the fields of fuzzy logic and evolutionary algorithms, and this book will add to the excitement, because it is the first volume to focus on the growing connections between the fields of evolutionary algorithms and fuzzy logic … This book will be a valuable aid to anyone considering the application of fuzzy logic and evolutionary algorithms to real problems, because it contains a number of detailed accounts of such applications written by authors in several countries. By making these accounts available in one place, the editors of this book have made it much easier for us to benefit from the authors' experience, and have done us a great service.” From the foreword by Lawrence Davies President of Tica Associates and editor of Handbook of Genetic Algorithms

Download or read Genetic Algorithms and Fuzzy Logic Systems book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliography on fuzzy logic and genetic algorithms. Contents:Foreword (L Davies)Preface (E Sanchez, T Shibata & L A Zadeh)Helicopter Flight Control with Fuzzy Logic and Genetic Algorithms (C Philips, C L Karr & G W Walker)Skill Acquisition and Skill-Based Motion Planning for Hierarchical Intelligent Control of a Redundant Manipulator (T Shibata)A Creative Design of Fuzzy Logic Controller Using a Genetic Algorithm (T Hashiyama, T Furuhashi & Y Uchikawa)Automatic Fuzzy Tuning and Its Applications (H Ishigami, T Fukuda, T Shibata)An Evolutionary Algorithm for Fuzzy Controller Synthesis and Optimization Based on SGS-Thomson's W.A.R.P. Fuzzy Processor (R Poluzzi, G G Rizzotto & A G B Tettamanzi)On-Line Self-Structuring Fuzzy Inference Systems for Function Approximation (H Bersini)Fuzzy Classification Based on Adaptive Networks and Genetic Algorithms (C-T Sun & J-S Jang)Intelligent Systems for Fraud Detection (J Kingdon)Genetic Algorithms for Query Optimization in Information Retrieval: Relevance Feedback (D H Kraft, F E Petry, B P Buckles & T Sadasivan)Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search (K Nishio, M Murakami, E Mizutani & N Honda)An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain (H S Lopes, M S Coutinho & W C de Lima)A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989–1995 (O Cordón, F Herrera & M Lozano) Readership: Mechanical, systems & knowledge, and control engineers; computer scientists in databases; and researchers in genetic algorithms, fuzzy logic systems, soft computing, artificial intelligence, neural networks, fuzzy logic control, robotics, classification, banking, information retrieval, and medicine. keywords:Genetic Algorithms;Evolutionary Algorithms;Fuzzy Logic Systems;Fuzzy Logic Control;Learning;Fuzzy-Neural Networks;Learning;Soft Computing “This volume displays the power of evolutionary algorithms when combined with fuzzy logic. These are exciting times in the fields of fuzzy logic and evolutionary algorithms, and this book will add to the excitement, because it is the first volume to focus on the growing connections between the fields of evolutionary algorithms and fuzzy logic … This book will be a valuable aid to anyone considering the application of fuzzy logic and evolutionary algorithms to real problems, because it contains a number of detailed accounts of such applications written by authors in several countries. By making these accounts available in one place, the editors of this book have made it much easier for us to benefit from the authors' experience, and have done us a great service.” From the foreword by Lawrence Davies President of Tica Associates and editor of Handbook of Genetic Algorithms


Advances of Soft Computing in Engineering

Advances of Soft Computing in Engineering [Pdf/ePub] eBook Author: Zenon Waszczyszyn
Editor: Springer Science & Business Media
ISBN-10: 3211997687
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Advances of Soft Computing in Engineering by Zenon Waszczyszyn Book Summary:

The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.

Download or read Advances of Soft Computing in Engineering book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.


Soft Computing: Theories and Applications

Soft Computing: Theories and Applications [Pdf/ePub] eBook Author: Tarun K. Sharma,Chang Wook Ahn,Om Prakash Verma,Bijaya Ketan Panigrahi
Editor: Springer Nature
ISBN-10: 9811617406
Size: 334 kb
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Soft Computing: Theories and Applications by Tarun K. Sharma,Chang Wook Ahn,Om Prakash Verma,Bijaya Ketan Panigrahi Book Summary:

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

Download or read Soft Computing: Theories and Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.


Soft Computing in Industrial Applications

Soft Computing in Industrial Applications [Pdf/ePub] eBook Author: Václav Snášel,Pavel Krömer,Mario Köppen,Gerald Schaefer
Editor: Springer Science & Business Media
ISBN-10: 3319009303
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Soft Computing in Industrial Applications by Václav Snášel,Pavel Krömer,Mario Köppen,Gerald Schaefer Book Summary:

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at WSC17, the 17th Online World Conference on Soft Computing in Industrial Applications, held from December 2012 to January 2013 on the Internet. WSC17 continues a successful series of scientific events started over a decade ago by the World Federation of Soft Computing. It brought together researchers from over the world interested in the ever advancing state of the art in the field. Continuous technological improvements make this online forum a viable gathering format for a world class conference. The aim of WSC17 was to disseminate excellent research results and contribute to building a global network of scientists interested in both theoretical foundations and practical applications of soft computing. The 2012 edition of the Online World Conference on Soft Computing in Industrial Applications consisted of general track and special session on Continuous Features Discretization for Anomaly Intrusion Detectors Generation and special session on Emerging Theories and Applications in Transportation Science. A total of 33 high quality research papers were accepted after a rigorous review process and are provided in this book.

Download or read Soft Computing in Industrial Applications book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at WSC17, the 17th Online World Conference on Soft Computing in Industrial Applications, held from December 2012 to January 2013 on the Internet. WSC17 continues a successful series of scientific events started over a decade ago by the World Federation of Soft Computing. It brought together researchers from over the world interested in the ever advancing state of the art in the field. Continuous technological improvements make this online forum a viable gathering format for a world class conference. The aim of WSC17 was to disseminate excellent research results and contribute to building a global network of scientists interested in both theoretical foundations and practical applications of soft computing. The 2012 edition of the Online World Conference on Soft Computing in Industrial Applications consisted of general track and special session on Continuous Features Discretization for Anomaly Intrusion Detectors Generation and special session on Emerging Theories and Applications in Transportation Science. A total of 33 high quality research papers were accepted after a rigorous review process and are provided in this book.


Advances in Soft Computing

Advances in Soft Computing [Pdf/ePub] eBook Author: Lourdes Martínez-Villaseñor,Ildar Batyrshin,Antonio Marín-Hernández
Editor: Springer Nature
ISBN-10: 3030337499
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Advances in Soft Computing by Lourdes Martínez-Villaseñor,Ildar Batyrshin,Antonio Marín-Hernández Book Summary:

This volume constitutes the proceedings of the 18th Mexican Conference on Artificial Intelligence, MICAI 2019, held in Xalapa, Mexico, in October/November 2019. The 59 full papers presented in this volume were carefully reviewed and selected from 148 submissions. They cover topics such as: machine learning; optimization and planning; fuzzy systems, reasoning and intelligent applications; and vision and robotics.

Download or read Advances in Soft Computing book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This volume constitutes the proceedings of the 18th Mexican Conference on Artificial Intelligence, MICAI 2019, held in Xalapa, Mexico, in October/November 2019. The 59 full papers presented in this volume were carefully reviewed and selected from 148 submissions. They cover topics such as: machine learning; optimization and planning; fuzzy systems, reasoning and intelligent applications; and vision and robotics.


Applied Soft Computing and Communication Networks

Applied Soft Computing and Communication Networks [Pdf/ePub] eBook Author: Sabu M. Thampi,Elizabeth Sherly,Soura Dasgupta,Jaime Lloret Mauri,Jemal H. Abawajy,Evgeny Khorov,Jimson Mathew
Editor: Springer Nature
ISBN-10: 9811538522
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Applied Soft Computing and Communication Networks by Sabu M. Thampi,Elizabeth Sherly,Soura Dasgupta,Jaime Lloret Mauri,Jemal H. Abawajy,Evgeny Khorov,Jimson Mathew Book Summary:

This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.

Download or read Applied Soft Computing and Communication Networks book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.


Fuzzy Neural Intelligent Systems

Fuzzy Neural Intelligent Systems [Pdf/ePub] eBook Author: Hongxing Li,C.L. Philip Chen,Han-Pang Huang
Editor: CRC Press
ISBN-10: 1420057995
Size: 1888 kb
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Fuzzy Neural Intelligent Systems by Hongxing Li,C.L. Philip Chen,Han-Pang Huang Book Summary:

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

Download or read Fuzzy Neural Intelligent Systems book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc). Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.