Artificial neural networks with radial basis function in prediction benchmark

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F10%3A63509301" target="_blank" >RIV/70883521:28110/10:63509301 - 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

Artificial neural networks with radial basis function in prediction benchmark

Original language description

The paper continues the research presented in the last DAAAM symposium (Samek, 2009), where the four types of artificial neural networks were tested in CATS prediction benchmark and the results were compared and discussed. This contribution is focused onartificial neural networks with radial basis function in the hidden layer. The special attention is paid not only to the prediction accuracy, but also to the computational demands of predictor.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JP - Industrial processes and processing

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

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

Article name in the collection

Proceedings of the 21st International DAAAM Symposium &quot;Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions&quot;

ISBN

978-3-901509-73-5

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

Zadar, Croatia

Event date

Jan 1, 2010

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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