Neural Networks: An Introduction (Physics of Neural Networks) - Hardcover

Joachim Reinhardt,Berndt Muller,Berndt Mller

Hardcover

ISBN 10: 3540523804 ISBN 13: 9783540523802

Publisher: Springer, 1990

Synopsis

Book by Müller, Berndt, Reinhardt, Joachim

About this title

From the Back Cover

Neural Networks The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach: - After a brief overview of the neural structure of the brain and the history of neural-network modeling, the reader is introduced to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers more advanced subjects such as the 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. - In the self-contained final part, seven programs that provide practical demonstrations of neural-network models and their learning strategies are discussed. The software is included on a 3 1/2-inch MS-DOS diskette. The source code can be modified using Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.

Review

"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

Edition details

• Publisher: Springer
• Publication date: 1990
• Language: English
• ISBN 10: 3540523804
• ISBN 13: 9783540523802
• Binding: Hardcover
• Number of pages: 266