Title :
The feasibility of using MLP neural networks for system identification
Author :
Chen, J.R. ; Mars, P.
Author_Institution :
Sch. of Eng. & Appl. Sci., Durham Univ., UK
Abstract :
Recently, there has been considerable interest in the use of artificial neural networks for system identification and control. In this paper the authors discuss some constraints faced by using the Model-I and Model-II neural network systems introduced in work by K.S. Narendra and K. Parthasarathy (see IEEE Tranc. on Neural Networks, vol.1, no.1, p.4-27 (1990)) for nonlinear system identification
Keywords :
identification; neural nets; nonlinear systems; MLP; multilayer perceptron; neural networks; nonlinear system; system identification;
Conference_Titel :
Neural Networks for Systems: Principles and Applications, IEE Colloquium on
Conference_Location :
London
