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Neural networks on the basis of the sample method

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Abstract

This paper describes the procedure of creating a neural network on the basis of the “etalon” (sample) method. The algorithm for the calculation of the weight table for the neural network connections is adduced and doesn’t need network training. The technology of the optimum creation of the neural network layers is described. The possibility is pointed out to use such an approach for the recognition of curves and symbolic images. An algorithm for the optimal selection of samples from a tested data set is adduced.

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Correspondence to P. Sh. Geidarov.

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Original Russian Text © P.Sh. Geidarov, 2009, published in Avtomatika i Vychislitel’naya Tekhnika, 2009, No. 4, pp. 48–57.

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Geidarov, P.S. Neural networks on the basis of the sample method. Aut. Conrol Comp. Sci. 43, 203–210 (2009). https://doi.org/10.3103/S0146411609040063

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  • DOI: https://doi.org/10.3103/S0146411609040063

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