DocumentCode
277908
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
fYear
1991
fDate
33263
Firstpage
42430
Lastpage
42432
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;
fLanguage
English
Publisher
iet
Conference_Titel
Neural Networks for Systems: Principles and Applications, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
180906
Link To Document