Comparison of artificial neural networks using prediction benchmarking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866683" target="_blank" >RIV/70883521:28140/11:43866683 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28110/11:43866683
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of artificial neural networks using prediction benchmarking
Original language description
Artificial neural networks are commonly used for prediction of various time series, linear and nonlinear systems. Nevertheless, the choice of proper type of artificial neural networks is difficult task, because each class of artificial neural networks has different features and abilities. Aim of this paper is to compare and benchmark four typical categories of artificial neural networks in artificial time series prediction and provide suggestions for this kind of applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JP - Industrial processes and processing
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Researches in Automatic Control
ISBN
978-1-61804-004-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
152-157
Publisher name
WSEAS Press
Place of publication
Montreux
Event location
Lanzarote
Event date
May 27, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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