Controlling Execution Mechanisms in Intelligent Systems Using Neural Networks

Controlling Execution Mechanisms in Intelligent Systems Using Neural Networks

Authors

  • Azizbek Yusupbekov Nodirbekovich
  • Husniddin Esonov Mamarasul o‘g‘li

DOI:

https://doi.org/10.5281/zenodo.15703092

Abstract

In the current era of rapidly advancing technology (2025–2030), the effective management and
automation of the manufacturing sector, along with the development of intelligent systems to ensure that
products meet quality and quantity standards, have become urgent priorities. In this context, the application
of neural networks for the rapid and convenient control of execution mechanisms used in the automatic regulation
of technological parameters within intelligent systems is gaining increasing importance

Author Biographies

Azizbek Yusupbekov Nodirbekovich


Doctor of Technical Sciences, Professor
Tashkent State Technical University

Husniddin Esonov Mamarasul o‘g‘li


Termez State University of Engineering and Agrotechnologies

References

On the Strategy of Actions for the Further Development of the Republic of Uzbekistan. – T.: February 7,

, Decree No. PF–4947.

Yusupbekov N.R., Mukhiddinov D.P. Fundamentals of Modeling and Optimization of Technological Processes.

– T.: Science and Technology, 2018. – 440 p.

Yusupbekov N.R., Mukhamedov B.I. Control and Automation of Technological Processes. Textbook. – T.:

– 576 p.

Yusupbekov A.N., Esonov H.M. Practical Importance of Automation and Control Systems Sciences. – T.:

Article. International Conference “Prospects of Geology, Mining and Metallurgy and Oil and Gas Sectors

in the South of the Republic”.

Esonov H.M. Improving the Efficiency of Executive Mechanisms of Intellectual Control Systems. Monograph.

– T.: Termiz Publishing Center, 2024. – 160 p.

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Published

2025-05-01

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