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Fuzzy neural network theory and application /

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. S...

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Основен автор: Liu, Puyin.
Други автори: Li, Hong-Xing, 1953-
Формат: Електронна книга
Език: English
Публикувано: River Edge, NJ : World Scientific, 2004.
Серия: Series in machine perception and artificial intelligence ; v. 59.
Предмети:
Онлайн достъп: http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235586
Подобни документи: Print version:: Fuzzy neural network theory and application.
Резюме: 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 he.
Физически характеристики: 1 online resource (xvii, 376 pages).
Библиография: Includes bibliographical references and index.
ISBN: 9789812794215
9812794212