THE PREDICTION OF SALE TIME SERIES BY ARTIFICIAL NEURAL NETWORK
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F12%3APU98970" target="_blank" >RIV/00216305:26510/12:PU98970 - isvavai.cz</a>
Alternative codes found
RIV/63468352:_____/12:#0000241
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
THE PREDICTION OF SALE TIME SERIES BY ARTIFICIAL NEURAL NETWORK
Original language description
The article presents one of the methods of prediction of time series with the support of MATLAB program when Neural Network Toolbox is used. There are mentioned the steps of calculation. The setup of parameters plays a key role for correct prediction. The method of calculation can be used for any time series.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Soft Computing
ISBN
978-80-7314-279-7
ISSN
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e-ISSN
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Number of pages
20
Pages from-to
10-10
Publisher name
EPI Kunovice
Place of publication
Kunovice
Event location
Kunovice
Event date
Jan 20, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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