Detail publikace
The Using of Neural Networks in Identification
DOHNAL, J., PIVOŇKA, P.
Originální název
The Using of Neural Networks in Identification
Anglický název
The Using of Neural Networks in Identification
Jazyk
en
Originální abstrakt
Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.
Anglický abstrakt
Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.
Dokumenty
BibTex
@inproceedings{BUT8004,
author="Jiří {Dohnal} and Petr {Pivoňka}",
title="The Using of Neural Networks in Identification",
annote="Process identification is of great significance in adaptive control. In addition to classical method of the continuous identification (least squares method) can be applied to other methods. Among these there is application of the neural networks by means of which the sought parameters can by determined. The most frequently used learning algorithms are backpropagation and the Marquardt – Levenberg method, which this article is dealing with.",
booktitle="Mendel 2003",
chapter="8004",
year="2003",
month="june",
pages="168",
type="conference paper"
}