Time Series Pattern Recognition via SoftComputing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA14012KE" target="_blank" >RIV/61988987:17310/11:A14012KE - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Time Series Pattern Recognition via SoftComputing
Original language description
In this paper we develop two methods that are able to analyze and recognize patterns in time series. The first model is based on analytic programming (AP). The second one uses an artificial neural network that is adapted by backpropagation. This paper also includes experimental results of time series pattern recognition carried out with both mentioned methods, which have proven their suitability for this type of problem solving.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of the International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
ISBN
978-1-4577-1448-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
384-389
Publisher name
EEE-CS Press
Place of publication
Barcelona
Event location
Barcelona
Event date
Oct 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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