Computational Intelligence :Concepts to Implementations

Publication subTitle :Concepts to Implementations

Author: Eberhart   Russell C.;Shi   Yuhui  

Publisher: Elsevier Science‎

Publication year: 2011

E-ISBN: 9780080553832

P-ISBN(Paperback): 9781558607590

P-ISBN(Hardback):  9781558607590

Subject: TP Automation Technology , Computer Technology;TP301.6 algorithm theory;TP31 computer software

Language: ENG

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Description

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence.

This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications.

Chapter

Front Cover

pp.:  1 – 4

Computational Intelligence

pp.:  4 – 5

Copyright Page

pp.:  5 – 6

Table of Contents

pp.:  6 – 14

Preface

pp.:  14 – 22

Chapter 1. Foundations

pp.:  22 – 38

Chapter 2. Computational Intelligence

pp.:  38 – 60

Chapter 3. Evolutionary Computation Concepts and Paradigms

pp.:  60 – 116

Chapter 4. Evolutionary Computation Implementations

pp.:  116 – 166

Chapter 5. Neural Network Concepts and Paradigms

pp.:  166 – 218

Chapter 6. Neural Network Implementations

pp.:  218 – 290

Chapter 7. Fuzzy Systems Conceptsand Paradigms

pp.:  290 – 336

Chapter 8. Fuzzy Systems Implementations

pp.:  336 – 394

Chapter 9. Computational Intelligence Implementations

pp.:  394 – 410

Chapter 10. Performance Metrics

pp.:  410 – 442

Chapter 11. Analysis and Explanation

pp.:  442 – 460

Bibliography

pp.:  460 – 476

Index

pp.:  476 – 490

About the Authors

pp.:  490 – 492

Chapter 12. Case Study Summaries

pp.:  492 – 528

Summary

pp.:  528 – 528

Exercises

pp.:  528 – 530

Glossary

pp.:  530 – 544

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