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Neural Networks: An Introduction (Physics of Neural Networks)
by Berndt Müller ; Joachim Reinhardt ; Michael T Strickland
Binding: Paperback, 2nd updated and corr edition, 330 pages
Publisher: Springer
Weight: 1.65 pound
Dimension: H: 0.8 x L: 9 x W: 6.1 inches
ISBN 10: 3540602070
ISBN 13: 9783540602071
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Book 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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