Very Good in a Very Good dust jacket. "July 1991" and ink mark on FEP. Floppy disks on rear pastedown. Light shelfwear on front and rear panel. Small closed tear on spine heel. ; 9.3 X 7.1 X 1.2 inches; 224 pages.

N� de ref. del art�culo 304591

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Detalles bibliogr�ficos

T�tulo

NEURAL NETWORKS AND FUZZY SYSTEMS: A DYNAMICAL APPROACH TO MACHINE INTELLIGENCE

Editor

Prentice-Hall, Inc, New Jersey

Fecha de publicaci�n

1992

Idioma

Ingl�s

ISBN 10

0136114350

ISBN 13

9780136114352

Encuadernaci�n

Hardcover

Edici�n

First Edition; First Printing.

Cat�logos de vendedores

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Sinopsis

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.

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