About: Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Then, the similarity between RBF networks and fuzzy models is 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. At first, we discuss the basic structure of the fuzzy system as a simple yet powerful fuzzy modeling technique. Then, the similarity between RBF networks and fuzzy models is 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. (en) V úvodě se diskutuje základní struktura fuzzy systému jako jednoduchá modelovací technika. Potom se zkoumá podobnost mezi RBF sítěmi a fuzzy systémem a do RBF sítě je zakomponován cloud koncept. Nakonec na praktické aplikaci časových řad se porovnávají aproximační a predikční schopnosti různých typů RBF sítí oproti klasickým statistickým modelovací technikám časových řad. (cs)
Title	Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models Porovnání aproximaní a predikční schopnosti rozličních RBF NS modelů so statistickými modely (cs) Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models (en)
skos:prefLabel	Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models Porovnání aproximaní a predikční schopnosti rozličních RBF NS modelů so statistickými modely (cs) Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models (en)
skos:notation	RIV/47813059:19240/07:#0000828!RIV08-GA0-19240___
http://linked.open.../vavai/riv/strany	1-4
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA402/05/2768)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Marček, Dušan Marček, Milan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Slezská univerzita v Opavě / Filozoficko-přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	414294
http://linked.open...ai/riv/idVysledku	RIV/47813059:19240/07:#0000828
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	probabilistic time-series models; fuzzy system; classic and soft RBF network; cloud models; granular computing (en)
http://linked.open.../riv/klicoveSlovo	granular computing probabilistic time-series models fuzzy system classic and soft RBF network cloud models
http://linked.open...ontrolniKodProRIV	[A8F47B74BEAF]
http://linked.open...v/mistoKonaniAkce	Kongresové centrum ČVUT Praha
http://linked.open...i/riv/mistoVydani	ČVUT Praha
http://linked.open...i/riv/nazevZdroje	TecnicalComputing Prague 2007, Sborník příspěvků 15. ročníku konference (CD ROM)
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http://linked.open...vavai/riv/projekt	Advanced statistical and econometric techniques for modelling and forecasting of economic time series
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Marček, Dušan Marček, Milan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2007-01-01 (xsd:date)
number of pages	4 (xsd:int)
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https://schema.org/isbn	978-80-7080-658-6
http://localhost/t...ganizacniJednotka	19240
is http://linked.open...avai/riv/vysledek of	Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models Comparison of approximation and forecastig ability of various RBF NNW models with statisstical models

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