Detail publikace

Neural Networks Applied to Real-Time Identification

DOHNAL, J., PIVOŇKA, P.

Originální název

Neural Networks Applied to Real-Time Identification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Identification of dynamic systems is essential for adaptive control. Properly identified parameters of a dynamic system make it possible to design a suitable controller. One of the possible approaches is employing neural networks. The neural networks must be correctly train to reach our requirements. In this paper the on-line identification by using neural networks (with Levenberg-Marquardt training algorithm) is discussed.

Klíčová slova

Neural Network, Training Algorithm, Levenberg-Marquard

Autoři

DOHNAL, J., PIVOŇKA, P.

Rok RIV

2004

Vydáno

4. 11. 2004

Nakladatel

DAAAM International Vienna

Místo

Vienna, Austria

ISBN

3-901509-42-9

Kniha

Annals of DAAAM for 2004 & Proceedings

Strany od

95

Strany do

96

Strany počet

2

BibTex

@inproceedings{BUT11767,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="Neural Networks Applied to Real-Time Identification",
  booktitle="Annals of DAAAM for 2004 & Proceedings",
  year="2004",
  pages="2",
  publisher="DAAAM International Vienna",
  address="Vienna, Austria",
  isbn="3-901509-42-9"
}