Neural Networks and Neurocontrol

Description

Elementary biophysical background for signal propagation in natural and neural systems. Artificial Neural networks (ANN). Hopfield. Feed forward. Learning techniques of McCulloch and Pitts Model. Connectionist model. The random neural network model. Associative memory. Learning algorithm application to Control engineering.

Program

M.Sc. in Electrical and Control Engineering

Objectives

• The student should be able to: Learn the graduate new techniques in control system. Update the graduate an objective on neural networks and how it is applied in control system.