Linear and Non-linear Artificial 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%2F02%3A00007087" target="_blank" >RIV/60461373:22340/02:00007087 - 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
Linear and Non-linear Artificial Neural Networks in Signal Prediction
Original language description
This paper presents the comparison of prediction properties and results obtained by different types of non-linear artificial neural networks. The fundamental part of the contribution is devoted to multi-dimensional feed-forward, recurrent networks and their comparison with simple linear networks. Resulting algorithms are applied to analysis and processing of data describing 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
BB - Applied statistics, operational research
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
2002
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 the 5th Int. Scientific - Technical Conference on Process Control '02
ISBN
80-7194-452-1
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
"R187-1"-"R187-14"
Publisher name
University of Pardubice
Place of publication
Pardubice
Event location
Kouty nad Desnou
Event date
Jun 9, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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