Compensatory Genetic Fuzzy Neural Networks And Their Applications

Compensatory Genetic Fuzzy Neural Networks And Their Applications

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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.
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Product details

  • Hardback | 200 pages
  • 160.27 x 227.08 x 17.27mm | 439.98g
  • Singapore, Singapore
  • English
  • 9810233493
  • 9789810233495

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.
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