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Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations (Systems)

N. Sundararajan, P. Saratchandran




[PDF.yu20] Parallel Architectures for Artificial Neural Networks: Paradigms and Implementations (Systems)

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 | #5997476 in Books |  Wiley-IEEE Computer Society Pr |  1998-11-30 | Original language:English | PDF # 1 |  10.39 x1.09 x7.20l,1.95 | File type: PDF | 409 pages

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||From the Back Cover|An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks

This excellent reference for all those involved in neural networks research and application presents, in a single text, the necessary aspects of parallel implementation for all major artificial neural network models. The book details implementations on varoius processor architectures (ring, torus, etc.) built on different hardware platforms, ranging from large general purpose parallel computers to custom built MIMD machines using transputers and DSPs.

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