Prediction by Artificial Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F03%3A63501241" target="_blank" >RIV/70883521:28110/03:63501241 - 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

Prediction by Artificial Neural Networks

Original language description

The aim of this contribution is to give short summary of artificial neural networks suitable for prediction. Furthermore, their abilities to predict signal with different noise levels are verified and compared by simulations. As far as prediction by artificial neural networks is concerned a multilayer feedforward neural network is usually used. Nevertheless, there are many other types of artificial neural networks which can be successfully applied as a predictor.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

<a href="/en/project/GA102%2F03%2F0070" target="_blank" >GA102/03/0070: Application of advanced control methods</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

Proceedings of 14th International Conference Proces Control 2003

ISBN

80-227-1902-1

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

247

Publisher name

STU v Bratislavě

Place of publication

Bratislava

Event location

Štrbrské pleso

Event date

Jun 8, 2003

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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