Compensatory genetic fuzzy neural networks and their applications
Author(s)
Bibliographic Information
Compensatory genetic fuzzy neural networks and their applications
（Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 30）
World Scientific, c1998
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Note
Includes bibliographical references (p. 173-181) and index
Description and Table of Contents
Description
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.
Table of Contents
- Fuzzy compensation principles
- normal fuzzy reasoning methodology
- compensatory genetic fuzzy neural networks
- fuzzy knowledge rediscovery in fuzzy rule bases
- fuzzy cat-pole balancing control systems
- fuzzy knowledge compression and expansion
- highly nonlinear system modelling and prediction
- fuzzy moves in fuzzy games
- genetic neuro-fuzzy pattern recognition
- constructive approach to modelling fuzzy systems.
by "Nielsen BookData"
