Neural Networks in a Softcomputing Framework (Hardcover, 2006 ed.)

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms - powerful tools for neural-network learning - are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Release date:	April 2006
First published:	2006
Authors:	Ke-Lin Du • M.N.S. Swamy
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Hardcover
Pages:	566
Edition:	2006 ed.
ISBN-13:	978-1-84628-302-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-84628-302-7
Barcode:	9781846283024

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