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

  • Alexander V. Burdeliov Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

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.

Author Biography

Alexander V. Burdeliov, Belarusian State University, 4 Niezaliezhnasci Avenue, Minsk 220030, Belarus

lecturer at the department of mathematical modelling and data analysis, faculty of applied mathematics and computer science

References

  1. Burdeliov AV, Nikonov VG. About the new algorithm of characterization of k-valued threshold functions. Computational Nanotechnology. 2017;1:7–14. Russian.
  2. Burdelev AV. Convergence of an iterative algorithm for computing parameters of multi-valued threshold functions. Prikladnaya diskretnaya matematika. 2018;39:107–115. Russian. DOI: 10.17223/20710410/39/10.
  3. Burdeliov AV, Nikonov VG. About construction of analytical definition of k-valued threshold function. Computational Nanotechnology. 2015;2:5–13. Russian.
  4. Nikonov VG, Nikonov NV. [Features of threshold representations of k-valued functions]. Trudy po diskretnoi matematike. 2008; 11(1):60–85. Russian.
  5. Minsky M, Papert S. Perceptrons: an introduction to computational geometry. Cambridge: MIT Press; 1969. VI, 258 p. Russian edition: Minsky M, Papert S. Perseptrony. Gimel’farb GL, Sharypanov VM, translators; Kovalevskii VA, editor. Moscow: Mir; 1971. 261 p.
Published
2023-12-19
Keywords: algorithm of learning of threshold functions, proof of convergence, threshold function, expansion coefficients, increase coefficients
How to Cite
Burdeliov, A. V. (2023). 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, 63-71. Retrieved from https://journals.bsu.by/index.php/mathematics/article/view/5779
Section
Discrete Mathematics and Mathematical Cybernetics