Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Методи і моделі продуктивності навчання багатошарових нейронних мереж в розподілених комп’ютерних середовищах

Axak N.1, Lebodkina A.1
1 Kharkiv National University of Radioelectronics

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UDC: 004.272.2
Publication Language: Russian
Stuc. intelekt. 2011; 16(4):481-488

Abstract: The methods and performance modelsof parallel processes that enable effectivemultilevel neural networks use in distributed computing environments with different topologies (“grid”, “fully connected graph”, “star”) are proposed inthe paper. The reliability of the proposed methods and models is confirmed by experimental researches.

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