Fuzzy and Neural: Interactions and Applications (Hardcover, 1999 ed.)

The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice."

General

Imprint:	Physica-Verlag
Country of origin:	Germany
Series:	Studies in Fuzziness and Soft Computing, 25
Release date:	2001
First published:	1998
Authors:	James J Buckley • Thomas Feuring
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	162
Edition:	1999 ed.
ISBN-13:	978-3-7908-1170-4
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	3-7908-1170-X
Barcode:	9783790811704

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