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Neural Networks: An Introduction (Physics of Neural Networks)


Extreame Savings Item! Save 43% on the Neural Networks: An Introduction (Physics of Neural Networks) by Brand: Springer at EMS Linux. SKU: VI-3540602070. Hurry! Limited time offer. Offer valid only while supplies last. Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief


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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.

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Manufacturer:Springer
Brand:Brand: Springer
Publisher:Springer
Studio:Springer
SKU:VI-3540602070
EAN:9783540602071
Item Weight:1.29 pounds
Item Size:0.79 x 9.25 x 9.25 inches
Package Weight:1.65 pounds
Package Size:6.1 x 0.8 x 0.8 inches

Neural Networks: An Introduction (Physics of Neural Networks) by Brand: Springer

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Neural Networks: An Introduction (Physics of Neural Networks)

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SKU: #VI-3540602070
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