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Composition of logical switching networks in neural structures

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Abstract

The technical constraints typical for the logical neuroblast model and the weaknesses of the widely applied artificial neural networks are specified. The composition method of the logical network of channel switches based on the approximation of the given function by individual fragments of its domain of definition is suggested. Integral criteria are introduced in order to ensure the algorithmic simplicity of the composition of the logical network for solving arbitrarily complex problems. Walsh spectral representations are used in the synthesis algorithm. The necessary explanations are accompanied by an example.

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References

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Authors and Affiliations

  1. The Embassy of Russia in Latvia, ul. Antoniyas 2, Riga, LV-1010, Latvia

    A. N. Sychev

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  1. A. N. Sychev
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Correspondence to A. N. Sychev.

Additional information

Original Russian Text © A.N. Sychev, 2012, published in Avtomatika i Vychislitel’naya Tekhnika, 2012, No. 6, pp. 17–32.

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Sychev, A.N. Composition of logical switching networks in neural structures. Aut. Control Comp. Sci. 46, 248–260 (2012). https://doi.org/10.3103/S0146411612060089

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  • DOI: https://doi.org/10.3103/S0146411612060089

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