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Abstract

The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian network does not allow to efficiently solve most of the problems that contain directed cycles. The modern theory of Bayesian networks prohibits the use of directed cycles. The requirement of acyclicity of the graph can significantly simplify the general theory of Bayesian networks, significantly simplify the development of algorithms and their implementation in program code for calculations in Bayesian networks..
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Bibliography

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Authors and Affiliations

Assem Shayakhmetova
1 2
Natalya Litvinenko
3
Orken Mamyrbayev
1
Waldemar Wójcik
4 5
Dusmat Zhamangarin
6

  1. Institute of Information and Computational Technology, 050010 Almaty, Kazakhstan
  2. Al-Farabi Kazakh National University, Almaty, Kazakhstan
  3. Information and Computational Technology, 050010 Almaty, Kazakhstan
  4. Institute of Information and Computational Technologies CS MES RK, Almaty
  5. Lublin Technical University, Poland
  6. Kazakh University Ways of Communications, Kazakhstan
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Abstract

In this article, we study tilted fiber Bragg gratings (TFBGs) with tilt angles of 6◦ and 8◦, their transmission spectra, and spectral parameters that have a linear dependence on the refractive index of the environment. It is shown that there can be several such characteristics, such as the minimum, width and energy of the spectrum. The linear dependence of the spectrum width on the refractive index does not depend on the tilt angle. The linear dependence of the spectrum minimum is only observed for a tilt angle of 8◦. The results of this work can be used to create a sensor system based on an optical fiber.

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Authors and Affiliations

Akmaral Tolegenova
Piotr A. Kisała
Ainur Zhetpisbayeva
Orken Mamyrbayev
Bekbolat Medetov

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