Publication detail
On-line Identification Based on Neural Networks using of Levenberg-Marquardt Method and Back-propagation Algorithm
PIVOŇKA, P., DOHNAL, J.
Original Title
On-line Identification Based on Neural Networks using of Levenberg-Marquardt Method and Back-propagation Algorithm
Type
journal article - other
Language
English
Original Abstract
In order to be able to control a system by means of an automatically adaptable controller, we have to adjust its parameters to the changes taking place in the system. For this purpose a number of methods have been developed. A frequently used identification method is the least-squares method, but we are limited by the choice of the suitable sampling period. The neural network seems to be a desirable solution because of its adaptation characteristics. Among the most used learning algorithms belong the Levenberg-Marquardt and back-propagation.
Keywords
Levenberg-Marquardt, Back-propagation, Neural network, Training set
Authors
PIVOŇKA, P., DOHNAL, J.
RIV year
2004
Released
25. 3. 2004
ISBN
1109-2777
Periodical
WSEAS Transactions on Systems
Year of study
3
Number
2
State
United States of America
Pages from
381
Pages to
355
Pages count
5
BibTex
@article{BUT41839,
author="Petr {Pivoňka} and Jiří {Dohnal}",
title="On-line Identification Based on Neural Networks using of Levenberg-Marquardt Method and Back-propagation Algorithm",
journal="WSEAS Transactions on Systems",
year="2004",
volume="3",
number="2",
pages="381--355",
issn="1109-2777"
}