Detail publikačního výsledku

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

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Klíčová slova

Least square method , Backpropagation method, Marquardt – Levenberg method, Neural network

Klíčová slova v angličtině

Least square method , Backpropagation method, Marquardt – Levenberg method, Neural network

Autoři

DOHNAL, J., PIVOŇKA, P.

Rok RIV

2011

Vydáno

01.12.2003

Nakladatel

CIKLUS, Slovenia

Místo

Maribor, Slovenia

ISBN

0-7803-7853-9

Kniha

IEEE ICIT 2003

Strany od

99

Strany počet

5

BibTex

@inproceedings{BUT8750,
  author="Jiří {Dohnal} and Petr {Pivoňka}",
  title="The Real-Time Identification of Dynamic Systems by using the Neural net Approach",
  booktitle="IEEE ICIT 2003",
  year="2003",
  pages="5",
  publisher="CIKLUS, Slovenia",
  address="Maribor, Slovenia",
  isbn="0-7803-7853-9"
}