Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing
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. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples.
Key features:
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.
1 Introduction to Computational Intelligence 1
2 Introduction to Fuzzy Logic 19
3 Fuzzy Systems and Applications 65
4 Neural Networks 103
5 Neural Systems and Applications 159
6 Evolutionary Computing 183
7 Evolutionary Systems 239
8 Evolutionary Fuzzy Systems 265
9 Evolutionary Neural Networks 307
10 Neural Fuzzy Systems 357
Appendix A: MATLAB R _ Basics 415
Appendix B: MATLAB R _ Programs for Fuzzy Logic 433
Appendix C: MATLAB R _ Programs for Fuzzy Systems 443
Appendix D: MATLAB R _ Programs for Neural Systems 461
Appendix E: MATLAB R _ Programs for Neural Control Design 473
Appendix F: MATLAB R _ Programs for Evolutionary Algorithms 489
Appendix G: MATLAB R _ Programs for Neuro-Fuzzy Systems 497