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Journal of the Belarusian State University. Mathematics and Informatics, 2023, Volume 3, Pages 63–71 (Mi bgumi669)  

Discrete mathematics and Mathematical cybernetics

Restoration of the analytical task of the threshold $k$-valued function in the information protection node with incomplete data

A. V. Burdeliov

Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus
References:
Abstract: This article considers the problem of restoring the threshold function in the information protection node from a input and output in the case when not all values are known. To solve this problem, it is proposed to use a geometric algorithm for characterising a partially known threshold $k$-valued function. The article proves the convergence of the algorithm at the final step; it is also shown that as a result of the algorithm, a certain threshold function will be constructed, which will coincide with this function at all known points.
Keywords: Algorithm of learning of threshold functions; proof of convergence; threshold function; expansion coefficients; increase coefficients.
Received: 04.05.2023
Revised: 25.10.2023
Accepted: 27.10.2023
Document Type: Article
UDC: 519.65
Language: Russian
Citation: A. V. Burdeliov, “Restoration of the analytical task of the threshold $k$-valued function in the information protection node with incomplete data”, Journal of the Belarusian State University. Mathematics and Informatics, 3 (2023), 63–71
Citation in format AMSBIB
\Bibitem{Bur23}
\by A.~V.~Burdeliov
\paper Restoration of the analytical task of the threshold $k$-valued function in the information protection node with incomplete data
\jour Journal of the Belarusian State University. Mathematics and Informatics
\yr 2023
\vol 3
\pages 63--71
\mathnet{http://mi.mathnet.ru/bgumi669}
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