MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS

Authors

  • Gulyamov Shukhrat Mannapovich

DOI:

https://doi.org/10.5281/zenodo.18076988

Abstract

Issues of linear and nonlinear modeling of complex technological processes and production in improved
(advanced) control systems are considered. The development of the Advanced Process Control APC-control is considered.
The application of forecasting algorithms based on artificial neural networks is briefly described.

Keywords

improved and APC-controlled predictive models of neural networks, complex chemical-technological processes and production.

Author Biography

Gulyamov Shukhrat Mannapovich

Tashkent State Technical University
Professor, Department of Automation of Production Processes
Doctor of Technical Sciences

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Published

2025-12-01

How to Cite

Gulyamov , S. (2025). MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS. Innovation Science and Technology, 1(12). https://doi.org/10.5281/zenodo.18076988
Vol. 1 No. 12 (2025): Innovation Science and Technology

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