Compensatory Genetic Fuzzy Neural Networks and Their Applications

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World Scientific, 1998 - Computers - 186 pages
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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. The proposed soft computing system is effective in performing both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also presents various novel soft computing techniques.
 

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Contents

Introduction
1
Fuzzy Compensation Principles
9
Normal Fuzzy Reasoning Methodology
41
Compensatory Genetic Fuzzy Neural Networks
57
Fuzzy Knowledge Rediscovery in Fuzzy Rule Bases
71
Fuzzy Cartpole Balancing Control Systems
81
Fuzzy Knowledge Compression and Expansion
95
Highly Nonlinear System Modeling and Prediction
104
Fuzzy Moves in Fuzzy Games
115
Genetic Neurofuzzy Pattern Recognition
145
Constructive Approach to Modeling Fuzzy Systems
152
Conclusions
169
Index
183
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