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
fDate :
27 Jun-2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374752
