Method Development and Investigation for Control of Automated Control System Working Capacity Based on Artificial Neural Networks

Abstract

The purpose of the work consists in the im-provement of known control methods of automated control system working capacity. A possibility for con-trol of automated control system working capacity based on artificial neural networks (ANN) is shown. ANN must be taught. ANN training requires a large training sample, substantial costs, computer resources, time and has high labor intensity. Methods of investigation are modeling, methods of artificial intelligence, artificial neural networks. As a result of the investigation there is devel-oped and investigated a method of automated control system (ACS) working capacity control with the use of a neural network.