The Neural Models Design and Application in Automation Control Systems

The object of the research is the automation control system. The subject of research is the automation control system design. The method of the investigation is the modeling. The tools used for research are the artificial neural networks. The goal is the neural model application in the automation co...

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Bibliographic Details
Published inIEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference pp. 893 - 896
Main Authors Sukhanova, Natalia V., Sheptunov, Sergey A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.01.2022
Subjects
Artificial neural networks
Automation
automation control system
Control systems
Costs
modeling
Neurons
reliability
Switches
Training
Online AccessGet full text
ISSN2376-6565
DOI10.1109/ElConRus54750.2022.9755707

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Summary:The object of the research is the automation control system. The subject of research is the automation control system design. The method of the investigation is the modeling. The tools used for research are the artificial neural networks. The goal is the neural model application in the automation control system. The problems are: the expenses for neural model design and training. The new switcher architecture was proposed for the artificial neural networks design. The switcher architecture of the neural networks allows to reduce expenses on the neural model design and training.
ISSN:2376-6565
DOI:10.1109/ElConRus54750.2022.9755707