On-line Identification Based on Neural Networks using of Levenberg-Marquardt Method and Back-propagation Algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU41335" target="_blank" >RIV/00216305:26220/04:PU41335 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

On-line Identification Based on Neural Networks using of Levenberg-Marquardt Method and Back-propagation Algorithm

Original language description

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 thhe Levenberg- Marquardt and back-propagation.

Czech name

On-line identifikace neuronovou sítí s použitím algoritmů Levenberg-Marquardt a Back-propagation

Czech description

Článek ukazuje na možnost on-line identifikace parametrů dynamického systému s využitím neuronové sítě.

Type

D - Article in proceedings

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Neural Networks and Applications

ISBN

960-8052-96-3

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

1-5

Publisher name

WSEAS

Place of publication

Udine, Italy

Event location

Udine

Event date

Mar 25, 2004

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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