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The application of neural network technologies in control systems consists of several
stages. In technological object control systems, each layer of the multilayer perceptron neural networks
is represented using separate transfer functions. The result of synthesizing neural network technology
into control systems allows for the rapid solution of many problems. Using neural network technology,
it is possible to perform many calculations. Chain rules of neural networks are added this paper. Lots
of training algorithms are compared to choose better to train network. Backpropagation neural
networks is seen deeply in the last page. Problems of interpolation and extrapolation are solved.
Algorithms for constructing an approximating function based on a multilayer perception neural network
are seen. Training stages and algorithms of multilayer neural networks for the system are concluded.
Interpolation and extrapolation problems in neural network technology are set there.
 

  • Ссылка в интернете
  • DOI https://doi.org/10.59048/2181-1180.1731
  • Дата создание в систему UzSCI 20-09-2025
  • Количество прочтений 25
  • Дата публикации 19-09-2025
  • Язык статьиIngliz
  • Страницы46-51
Ключевые слова
English

The application of neural network technologies in control systems consists of several
stages. In technological object control systems, each layer of the multilayer perceptron neural networks
is represented using separate transfer functions. The result of synthesizing neural network technology
into control systems allows for the rapid solution of many problems. Using neural network technology,
it is possible to perform many calculations. Chain rules of neural networks are added this paper. Lots
of training algorithms are compared to choose better to train network. Backpropagation neural
networks is seen deeply in the last page. Problems of interpolation and extrapolation are solved.
Algorithms for constructing an approximating function based on a multilayer perception neural network
are seen. Training stages and algorithms of multilayer neural networks for the system are concluded.
Interpolation and extrapolation problems in neural network technology are set there.
 

Ключевые слова
№ Имя автора Должность Наименование организации
1 Abdishukurov S.M. researcher Tashkent State Technical University
2 Li X.. teacher University of Duisburg - Essen, Duisburg city, Germany)*
№ Название ссылки
1 1. Sevinov Jasur Usmonovich; Shavkat Abdishukurov Maqsud o'g'li; Synthesis problem of adaptive control systems for multi-channel and multimode objects. Chemical Technology, Control and Management: Vol. 2023: Iss. 5, Article 10.-pp.57-63. DOI: https://doi.org/10.59048/2181-1105.1508. 2. Zayniddinov B. Kholkhodjaev B.; Abdishukurov Sh.; Zayniddinova Z. “Construction ofStructural and Mathematical Model of Water Reservoir,” AIP Conference Proceedings. March 2023. International Scientific Conference Construction Mechanics, Hydraulics and Water Resources Engineering, CONMECHYDRO 2021. Tashkent. September 2021. DOI: https://doi.org/10.1063/5.0116887
2 3. Sychev O.F.; Ivasenko V.L. “Structure effects on reactivity of coordinated NO,” Theoretical and Experimental Chemistry. Published: September 1990. Volume 25, pages 538–541, DOI: https://doi.org/10.1007/BF00529971 4. Аlisher Mallayev, Jasur Sevinov, Suban Xusanov, Okhunjon Boborayimov. Algorithms for the synthesis of gradient controllers in a nonlinear control system. AIP Conference Proceedingsthis link is disabled (CAMSTech-II), 2022, 2467, 030003. DOI: https://doi.org/10.1063/5.0093749. 5. Golinko, Igor; Galytska, Iryna. “Mathematical Model of Heat Exchange for Non stationary Mode of Water Heater,” ICCSEEA. March, 2019: Advances in Computer Science for Engineering and Education II pp 58–67. DOI: https://doi.org/10.1007/978-3-030- 16621-2_6
3 6. Lin, Min, Wen, Yan, Luo, Min, Liu, Xingle. “Design and development of the heat-exchanger for strip casing process,” Acta Tabacaria Sinica. 2020, (01). DOI: https://doi.org/10.16472/j.chinatobacco.2018.397 7. Siddikov, Isamiddin Xakimovich. Umurzakova, Dilnoza Maxamadjonovna. “Synthesis of Adaptive Control Systems of a Multidimensional Discrete Dynamic Object with a Forecasting Model,” International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT-2019. Tashkent. 4-6 November, 2019. DOI: https://doi.org/10.1109/ICISCT47635.2019.9012033 8. Siddikov, Isamiddin Xakimovich; Umurzakova, Dilnoza Maxamadjonovna. “Mathematical modeling of transient processes of the automatic control system of water level in the steam generator,” Universal Journal of Mechanical Engineering - 7, Pp 139 – 146. 2019. DOI: https://doi.org/10.13189/ujme.2019.070401
4 9. J.U.Sevinov, O.Kh.Boborayimov, Sh.M.Abdishukurov, “Algorithms for synthesis of adaptive control systems based on the neural network approach” Chemical Technology, Control and Management., №4, no. 4, October. 2023. pp. 69-79. Article. DOI: https://doi.org/10.59048/2181- 1105.1489.
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