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Efficiency analysis of parallel batch pattern nn training algorithm on general-purpose supercomputer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5518 LNCS(PART 2) 223-226
DOI: 10.1007/978-3-642-02481-8_31
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Abstract

The theoretic and algorithmic description of the parallel batch pattern back propagation (BP) training algorithm of multilayer perceptron is presented in this paper. The efficiency research of the developed parallel algorithm is fulfilled at progressive increasing of the dimension of parallelized problem on general-purpose parallel computer NEC TX-7. © 2009 Springer Berlin Heidelberg.

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Turchenko, V., & Grandinetti, L. (2009). Efficiency analysis of parallel batch pattern nn training algorithm on general-purpose supercomputer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 223–226). https://doi.org/10.1007/978-3-642-02481-8_31

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