Fuzzy Neural Network Theory And Application

By: Hong-xing Li, Puyin Liu

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Hardcover | 8 June 2004

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Hardcover
396 Pages

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23.0 x 16.2 x 2.6

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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.

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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 Databases Data Capture & Analysis Mathematics

Applied Mathematics Booktopia Publisher Services World Scientific Publishing

Introduction	p. 1
Fuzzy neural networks for storing and classifying	p. 25
Fuzzy associative memory - feedback networks	p. 68
Regular fuzzy neural networks	p. 131
Polygonal fuzzy neural networks	p. 199
Approximation analysis of fuzzy systems	p. 251
Stochastic fuzzy systems and approximations	p. 296
Application of FNN to image restoration	p. 326
Table of Contents provided by Blackwell. All Rights Reserved.

Fuzzy Neural Network Theory And Application

At a Glance

Hardcover

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