Prediction benchmark of artificial neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F09%3A63508096" target="_blank" >RIV/70883521:28110/09:63508096 - 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 benchmark of artificial neural networks

Original language description

This paper deals with the testing of prediction abilities of artificial neural networks. Special attention is paid to computational demands of various types of artificial neural networks and their applicability in model predictive control. In order to provide generally comparable results, the CATS benchmark (Competition on Artificial Time Series) was chosen as the testing method.

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/GP102%2F07%2FP137" target="_blank" >GP102/07/P137: Predictive control using artificial neural networks with online adaptation of predictor</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

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

Article name in the collection

Anals of DAAAM for 2009 & Proceeding of the 20th International DAAAM Symposium

ISBN

978-3-901509-70-4

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

DAAAM International Vienna

Place of publication

Vienna

Event location

Vienna, Austria

Event date

Nov 25, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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