Fuzzy Neural Network Theory and Application

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World Scientific, 2004 - Computers - 376 pages
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This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. Contents: Fuzzy Neural Networks for Storing and Classifying; Fuzzy Associative Memory OCo Feedback Networks; Regular Fuzzy Neural Networks; Polygonal Fuzzy Neural Networks; Approximation Analysis of Fuzzy Systems; Stochastic Fuzzy Systems and Approximations; Application of FNN to Image Restoration. Readership: Scientists, engineers and graduate students in applied mathematics, computer science, automatic control and information processing."

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Introduction 1
Fuzzy Neural Networks for Storing and Classifying 25
Fuzzy Associative MemoryFeedback Networks 68
Regular Fuzzy Neural Networks 131
Polygonal Fuzzy Neural Networks 199
Approximation Analysis of Fuzzy Systems 251
Stochastic Fuzzy Systems and Approximations 296
Application of FNN to Image Restoration 326
Indices 371

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