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Neural Networks and Fuzzy Systems

Neural Networks and Fuzzy Systems A Dynamical Systems Approach to Machine Intelligence

Paperback (23 May 1991)

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Publisher's Synopsis

Combining neural networks and fuzzy systems, this presents neural networks as trainable dynamical systems and develops mechanisms and principles of adaption, self-organization, covergence and global stability. It also includes the new geometric theory of fuzzy sets, systems and associative memories. Kosko shows how to apply fuzzy theory to adaptive control and how to generate structured fuzzy systems with unsupervised neural techniques.;The book is designed to be appropriate for courses in engineering, computer science, mathematics, psychology and biology. Neural, fuzzy and neural-fuzzy IBM PC software is included.

About the Publisher

Prentice Hall

Book information

ISBN: 9780136114352
Publisher: Prentice Hall
Imprint: Prentice Hall
Pub date:
DEWEY: 006.3
DEWEY edition: 20
Language: English
Number of pages: 449
Weight: 950g
Height: 241mm
Width: 190mm
Spine width: 31mm