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Parallel Implementations of Backpropagation Neural Networks on Transputers: A Study of Training Set Parallelism (Progress in Neural Processing)

P Saratchandran, N Sundararajan, Shou King Foo




[PDF.ed61] Parallel Implementations of Backpropagation Neural Networks on Transputers: A Study of Training Set Parallelism (Progress in Neural Processing)

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 | #11170046 in Books |  1996-07-04 | Original language:English | PDF # 1 |  9.00 x6.50 x.75l,.0 | File type: PDF | 220 pages

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This book presents a systematic approach to parallel implementation of feedforward neural networks on an array of transputers. The emphasis is on backpropagation learning and training set parallelism. Using systematic analysis, a theoretical model has been developed for the parallel implementation. The model is used to find the optimal mapping to minimize the training time for large backpropagation neural networks. The model has been validated experimentally on several w...

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