Neural Networks: An Introduction (Physics of Neural Networks)

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Neural Networks: An Introduction (Physics of Neural Networks) image
ISBN-10:

3540602070

ISBN-13:

9783540602071

Edition: 2nd updated and corr. ed.
Released: Oct 02, 1995
Publisher: Springer
Format: Paperback, 346 pages

Description:

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.

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