Recurrent Neural Networks in Signal Prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F03%3A00007534" target="_blank" >RIV/60461373:22340/03:00007534 - 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
Recurrent Neural Networks in Signal Prediction
Original language description
The contribution is devoted to analysis and testing of properties and possibilities of artificial recurrent neural networks using the Real-Time Recurrent Learning algorithm. General algorithms studied in the paper are applied for real data representing gas consumption in the Czech Republic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
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
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 14th Int. Conf. on Process Control PC '03
ISBN
80-227-1902-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
"PC071/1"-"PC071/7"
Publisher name
Slovenská technická univerzita
Place of publication
Bratislava
Event location
Štrbské Pleso
Event date
Jun 8, 2003
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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