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Industrial Automatic Control Systems and Controllers

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Implementation of a learning Algorithm for Kohonen’s Self-organizing map on Graphical Processor
D.P. BOGOLYUBOV, A.A. CHANKIN, K.V. STEMIKOVSKAYA

In this article we introduce a CUDA-based implementation of Kohonen self-organizing map. We describe software implementation and test results confirming performance growth with increasing size of neural network comparative to serial version of algorithm.
Keywords: SOM, parallel computing, neural networks training algorithm, GPGPU, CUDA

Contacts: e-mail: bogolub@mail.ru

Pp. 30-35.

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