Innovation science and technologiy Volume 1 Issue 12 (2025)

MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS

Gulyamov, Shukhrat

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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.

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

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Cite

APA 7 
Gulyamov, Shukhrat (2025). MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS. Innovation science and technologiy, 1(12).
GOST R 7.0.5 
Gulyamov, Shukhrat MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS // Innovation science and technologiy. 2025. Т. 1. № 12.
BibTeX 
@article{shukhrat2025,
  author  = {Gulyamov, Shukhrat},
  title   = {MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS},
  journal = {Innovation science and technologiy},
  year    = {2025},
  volume  = {1},
  number  = {12}
}
RIS 
TY  - JOUR
AU  - Gulyamov, Shukhrat
TI  - MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS
JO  - Innovation science and technologiy
PY  - 2025
VL  - 1
IS  - 12
ER  -