Neural Networks - An Introduction (Paperback, 2nd updated and corr. ed.)

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Physics of Neural Networks
Release date:	October 1995
First published:	1995
Authors:	Berndt Muller • Joachim Reinhardt • Michael T Strickland
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	331
Edition:	2nd updated and corr. ed.
ISBN-13:	978-3-540-60207-1
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-540-60207-0
Barcode:	9783540602071

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