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- W2546392110 abstract "An approach to development of fine-grain parallel algorithm of artificial neural network training using parallelization of computational operations of each elementary neuron is presented in this paper. A training algorithm of back error propagation is described and parallel section of the algorithm is developed. The results of experimental research of the parallel algorithm are given using analysis of parallelization speedup and efficiency on parallel computer Origin 300." @default.
- W2546392110 created "2016-11-04" @default.
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- W2546392110 date "2006-02-01" @default.
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- W2546392110 title "Fine-Grain Parallelization of Recurrent Neural Networks Training" @default.
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- W2546392110 doi "https://doi.org/10.1109/tcset.2006.4404497" @default.
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