Computational intelligence : synergies of fuzzy logic, neural networks, and evolutionary computing / Nazmul Siddique, Hojjat Adeli.
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence.
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Full Text (via O'Reilly/Safari) |
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| Format: | eBook |
| Language: | English |
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Chichester, West Sussex, United Kingdom :
John Wiley & Sons Inc.,
2013.
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Table of Contents:
- Title Page; Copyright; Dedication; Foreword; Preface; Acknowledgements; Chapter 1: Introduction to Computational Intelligence; 1.1 Computational Intelligence; 1.2 Paradigms of Computational Intelligence; 1.3 Approaches to Computational Intelligence; 1.4 Synergies of Computational Intelligence Techniques; 1.5 Applications of Computational Intelligence; 1.6 Grand Challenges of Computational Intelligence; 1.7 Overview of the Book; 1.8 MATLAB® Basics; References; Chapter 2: Introduction to Fuzzy Logic; 2.1 Introduction; 2.2 Fuzzy Logic; 2.3 Fuzzy Sets; 2.4 Membership Functions
- 2.5 Features of MFs2.6 Operations on Fuzzy Sets; 2.7 Linguistic Variables; 2.8 Linguistic Hedges; 2.9 Fuzzy Relations; 2.10 Fuzzy If-Then Rules; 2.11 Fuzzification; 2.12 Defuzzification; 2.13 Inference Mechanism; 2.14 Worked Examples; 2.15 MATLAB® Programs; References; Chapter 3: Fuzzy Systems and Applications; 3.1 Introduction; 3.2 Fuzzy System; 3.3 Fuzzy Modelling; 3.4 Fuzzy Control; 3.5 Design of Fuzzy Controller; 3.6 Modular Fuzzy Controller; 3.7 MATLAB® Programs; References; Chapter 4: Neural Networks; 4.1 Introduction; 4.2 Artificial Neuron Model; 4.3 Activation Functions
- 4.4 Network Architecture4.5 Learning in Neural Networks; 4.6 Recurrent Neural Networks; 4.7 MATLAB® Programs; References; Chapter 5: Neural Systems and Applications; 5.1 Introduction; 5.2 System Identification and Control; 5.3 Neural Networks for Control; 5.4 MATLAB® Programs; References; Chapter 6: Evolutionary Computing; 6.1 Introduction; 6.2 Evolutionary Computing; 6.3 Terminologies of Evolutionary Computing; 6.4 Genetic Operators; 6.5 Performance Measures of EA; 6.6 Evolutionary Algorithms; 6.7 MATLAB® Programs; References; Chapter 7: Evolutionary Systems; 7.1 Introduction
- 7.2 Multi-objective Optimization7.3 Co-evolution; 7.4 Parallel Evolutionary Algorithm; References; Chapter 8: Evolutionary Fuzzy Systems; 8.1 Introduction; 8.2 Evolutionary Adaptive Fuzzy Systems; 8.3 Objective Functions and Evaluation; 8.4 Fuzzy Adaptive Evolutionary Algorithms; References; Chapter 9: Evolutionary Neural Networks; 9.1 Introduction; 9.2 Supportive Combinations; 9.3 Collaborative Combinations; 9.4 Amalgamated Combination; 9.5 Competing Conventions; References; Chapter 10: Neural Fuzzy Systems; 10.1 Introduction; 10.2 Combination of Neural and Fuzzy Systems
- 10.3 Cooperative Neuro-Fuzzy Systems10.4 Concurrent Neuro-Fuzzy Systems; 10.5 Hybrid Neuro-Fuzzy Systems; 10.6 Adaptive Neuro-Fuzzy System; 10.7 Fuzzy Neurons; 10.8 MATLAB® Programs; References; Appendix A: MATLAB® Basics; Appendix B: MATLAB® Programs for Fuzzy Logic; Appendix C: MATLAB® Programs for Fuzzy Systems; Appendix D: MATLAB® Programs for Neural Systems; Appendix E: MATLAB® Programs for Neural Control Design; Appendix F: MATLAB® Programs for Evolutionary Algorithms; Appendix G: MATLAB® Programs for Neuro-Fuzzy Systems; Index