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Algebraic Properties of Cores of Generalized Neurofunctions

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Cybernetics and Systems Analysis Aims and scope

Abstract

This paper considers generalized neural elements and identifies the conditions for implementation of functions of algebra of logic from these elements. We introduce the concept of a modified core of Boolean functions with respect to the system of characters of a group on which functions of algebra of logic are given. The criteria of belonging these functions to the class of generalized neurofunctions are provided. The algebraic structure of cores of Boolean neurofunctions is studied. On the basis of properties of tolerance matrices, a number of necessary conditions for implementation of Boolean functions by one generalized neural element are obtained. The obtained results allow to develop efficient methods of synthesis of integer-valued generalized neural elements with a large number of inputs that can be successfully applied in solving information compression and transmission problems, as well as discrete signal recognition problems.

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Authors and Affiliations

  1. Uzhhorod National University, Uzhhorod, Ukraine

    F. Geche & O. Mulesa

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  1. F. Geche
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  2. O. Mulesa
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Correspondence to F. Geche.

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Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2018, pp. 27–36.

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Geche, F., Mulesa, O. Algebraic Properties of Cores of Generalized Neurofunctions. Cybern Syst Anal 54, 874–882 (2018). https://doi.org/10.1007/s10559-018-0090-4

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  • DOI: https://doi.org/10.1007/s10559-018-0090-4

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