Neural Networks: An Introduction by Berndt Müller

Neural Networks: An Introduction

byBerndt Müller, Joachim Reinhardt, Michael T. Strickland

Paperback | October 2, 1995

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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.
Title:Neural Networks: An IntroductionFormat:PaperbackProduct dimensions:346 pages, 9.25 X 6.1 X 0 inShipping dimensions:346 pages, 9.25 X 6.1 X 0 inPublished:October 2, 1995Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540602070

ISBN - 13:9783540602071

Appropriate for ages: All ages

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From Our Editors

The second edition of this widely-acclaimed book presents a concise overview of the concepts of neural-network models and the techniques of parallel distributed processing. The authors have broken down neural networks to a comprehensive three-part treatment with a multi-disciplinary approach

Editorial Reviews

"I have enjoyed using the previous edition of this well-known book both as a personal text and as a class manual. Although it claims to be only an introduction, it contains a wealth of material and addresses real problems in physics." Computing Reviews