COMPOSITION OF NEURAL NETWORKS BY HEBB ALGORITHM AND DIRECT SPREADING IN CHARACTERS ENCODING SYSTEMS

Authors

  • Н. В. Юркович Uzhhorod National University, Ukraine
  • О. В. Герасімов Uzhhorod National University, Ukraine
  • В. М. Юркович Uzhhorod National University, Ukraine
  • М. І. Мар’ян Uzhhorod National University, Ukraine

DOI:

https://doi.org/10.24144/2415-8038.2014.36.161-167

Keywords:

Neural networks, By Hebb algorithm, Algorithm direct spreading, Character encoding, Digital signature and biometrics, Information security systems, The programming language C

Abstract

Investigated neural network by Hebb self-organizated algorithms and direct spreading, discussed ways of  learning it and ability to use  it at systems of technical information protection. Implemented self-consistent model of composition of the neural network by Hebb algorithm and direct spreading, which is able to detect image data character encoding. The program developed in C ++ for appropriate recognition code access, also created the module of the algorithm realisation blocking system upon reaching a preset percentage of recognition.

References

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Published

2014-12-23

Issue

Vol. 36 (2014)

Section

Статті

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Copyright (c) 2014 Scientific Herald of Uzhhorod University.Series Physics

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