Innovation science and technologiy Ҷилди 1 № 12 (2025)

MODELS FOR PREDICTING THE MANAGEMENT OF COMPLEX TECHNOLOGICAL PROCESSES AND PRODUCTIONS

Gulyamov, Shukhrat

Дар манбаъ хондан PDF

Аннотатсия

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.

Манбаи метамаълумот: бойгонии OAI-PMH-и маҷалла · Sindex матни пурраро нигоҳ намедорад, ба манбаъ пайванд медиҳад.

Иқтибос гирифтан

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  -