Compensatory Genetic Fuzzy Neural Networks And Their Applications

By: Abraham Kandel, Yan-Qing Zhang

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Hardcover | 24 August 1998

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Hardcover
200 Pages

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22.86 x 16.51 x 1.91

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Reference, Information & Interdisciplinary Subjects Research & Information Information theory Cybernetics & Systems Theory Mathematics Applied Mathematics Fuzzy Set Theory

Computer Networking & Communications Booktopia Publisher Services World Scientific Publishing

Preface
Introduction	p. 1
Fuzzy Compensation Principles	p. 9
Normal Fuzzy Reasoning Methodology	p. 41
Compensatory Genetic Fuzzy Neural Networks	p. 57
Fuzzy Knowledge Rediscovery in Fuzzy Rule Bases	p. 71
Fuzzy Cart-pole Balancing Control Systems	p. 81
Fuzzy Knowledge Compression and Expansion	p. 95
Highly Nonlinear System Modeling and Prediction	p. 104
Fuzzy Moves in Fuzzy Games	p. 115
Genetic Neuro-fuzzy Pattern Recognition	p. 145
Constructive Approach to Modeling Fuzzy Systems	p. 152
Conclusions	p. 169
Bibliography	p. 173
Index	p. 183
Table of Contents provided by Blackwell. All Rights Reserved.

Compensatory Genetic Fuzzy Neural Networks And Their Applications

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