COMPARISON OF THE FORECASTING ABILITY OF VARIOUS RBF NNW MODELS WITH STATISTICAL MODELS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63468352%3A_____%2F10%3A%230000018" target="_blank" >RIV/63468352:_____/10:#0000018 - 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
COMPARISON OF THE FORECASTING ABILITY OF VARIOUS RBF NNW MODELS WITH STATISTICAL MODELS
Original language description
At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Neural networks and fuzzy logic models are based on very similar underlying mathematics. The similarity between RBF networks and fuzzy modelsis noted in detail. Then, we propose the extension of RBF neural networks by the cloud model. Time series approximation and prediction by applying RBF neural networks or fuzzy models and comparisons between the various types of RBF networks and statistical models are discussed
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
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING APPLIED IN COMPUTER AND ECONOMIC ENVIRONMENTS
ISBN
978-80-7314-201-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Evropský polytechnický institut, s.r.o.
Place of publication
Kunovice
Event location
Hodonín
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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