The Using of Neural Networks in Identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F03%3APU37588" target="_blank" >RIV/00216305:26220/03:PU37588 - 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

The Using of Neural Networks in Identification

Original language description

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 meansof 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JB - Sensors, detecting elements, measurement and regulation

OECD FORD branch

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Project

<a href="/en/project/GA102%2F01%2F1485" target="_blank" >GA102/01/1485: Enviroment for development, modelling and application of heterogenous systems</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Article name in the collection

Mendel 2003

ISBN

80-214-2411-7

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

168-172

Publisher name

Neuveden

Place of publication

Brno

Event location

Brno

Event date

Jun 4, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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