NEURAL NETWORK TECHNOLOGIES IN THE AUTOMATICAL CONTROL SYSTEMS OF ABSORPTION PROCESS FOR PUREFICATING NATURAL GAS

Authors

• Abdishukurov Maqsudovich Shavkat Mr, Tashkent state technical university named after Islam karimovFollow
• Xuecheng Li Li Xuecheng mr, University of Duisburg–EssenFollow

Abstract

Analysis of methods and algorithms for synthesizing adaptive control systems for technological processes based on the neural network approach is carried out in this search. The stages of mathematical modeling of complex technological processes using neural network technology were considered. Additionally, an algorithm for solving the interpolation and extrapolation problem that arises in the training process a neural network to control system was proposed. At the final stage of this article, algorithms based on neural network technology are synthesized for the control system for the parameters of the technological process of natural gas purification by absorption

First Page

49

Last Page

55

References

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Recommended Citation

Shavkat, Abdishukurov Maqsudovich Mr and Xuecheng, Xuecheng Li Li mr (2026) "NEURAL NETWORK TECHNOLOGIES IN THE AUTOMATICAL CONTROL SYSTEMS OF ABSORPTION PROCESS FOR PUREFICATING NATURAL GAS," Technical science and innovation: Vol. 2026: Iss. 2, Article 8.
Available at: https://btstu.researchcommons.org/journal/vol2026/iss2/8