NEURAL NETWORKS IN THE MANAGEMENT OF COMPLEX TECHNICAL SYSTEMS

Abstract

The methods of application of neural networks for solving the problems of control of dynamic objects are considered. For each type of neural control, the circuits for connecting the neural networks within the control system are presented and the procedures for their training are described in detail. The advantages and disadvantages of the described methods are analyzed.

Keywords

• artificial intelligence, neural network, control system, error, feedback, dynamic object, automatic control, adaptive control.