DocumentCode
288795
Title
Two neural networks for solving the linear system identification problem
Author
Galván, José B. ; Pérez-Ilzarbe, María José
Author_Institution
Univ. Publica de Navarra, Pamplona, Spain
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3226
Abstract
The authors have adapted two standard networks, multilayer perceptron and Hopfield, in order to use them for the linear systems identification problem. A systematic method for the study of the order and the delay of the transfer function is explained. Some results using simulated and real data are presented
Keywords
Hopfield neural nets; identification; linear systems; multilayer perceptrons; Hopfield; identification; linear system; multilayer perceptron; neural networks; transfer function; Adaptive control; Backpropagation; Delay; Linear systems; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonhomogeneous media; Sampling methods; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374752
Filename
374752
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