Control of Complex of Parallel Operations Using Neural Network

Abstract

The paper presents a concept of the application of neural network to the control of a class of static operation systems. Two learning algorithms based on the known ideas of adaptation are investigated. Results of simulations obtained for the control of simple operation system using neuron-like central algorithms are presented.