Detail publikace
The Real-Time Identification of Dynamic Systems by using the Neural net Approach
DOHNAL, J., PIVOŇKA, P.
Originální název
The Real-Time Identification of Dynamic Systems by using the Neural net Approach
Anglický název
The Real-Time Identification of Dynamic Systems by using the Neural net Approach
Jazyk
en
Originální abstrakt
Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.
Anglický abstrakt
Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.
Dokumenty
BibTex
@inproceedings{BUT8750,
author="Jiří {Dohnal} and Petr {Pivoňka}",
title="The Real-Time Identification of Dynamic Systems by using the Neural net Approach",
annote="Neural networks play significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learn algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.",
address="CIKLUS, Slovenia",
booktitle="IEEE ICIT 2003",
chapter="8750",
institution="CIKLUS, Slovenia",
year="2003",
month="december",
pages="99",
publisher="CIKLUS, Slovenia",
type="conference paper"
}