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Description
  • In this study, we are concerned with fuzzy systems for mapping input fuzzy sets to output fuzzy sets. At first, we discuss the basic structure of the fuzzy system. An RBF neural network architecture is proposed as a means of performing fuzzy logic inference for fuzzy systems. Then, we describe a new approach of function estimation for time series model by means of an RBF neural network based on Gaussian activation function. An application is included to illustrate the approximating performance of this approach.
  • In this study, we are concerned with fuzzy systems for mapping input fuzzy sets to output fuzzy sets. At first, we discuss the basic structure of the fuzzy system. An RBF neural network architecture is proposed as a means of performing fuzzy logic inference for fuzzy systems. Then, we describe a new approach of function estimation for time series model by means of an RBF neural network based on Gaussian activation function. An application is included to illustrate the approximating performance of this approach. (en)
  • Článek se věnuje fuzzy systémům pro zobrazení vstupních fuzzy množin do výstupních fuzzy množin. Nejdříve je reprezentovaná základní struktura fuzzy systému. Potom se navrhuje architektura RBF sítě pro vykonávaní fuzzy logické inference pro fuzzy systémy a postupně se vyvíjí nová architektura RBF pro specifikaci a odhad parametrů modelu časové řady založené na RBF sítí s gaussovskými aktivačními funkcemi RBF neuronů. Na ilustraci funkční správnosti a zhodnocení aproximační přesnosti odhadu výstupních dat byla sít použita na reálnu aplikaci. (cs)
Title
  • Econometric and RBF Neural Network Modelling of Economic Time Series
  • Econometric and RBF Neural Network Modelling of Economic Time Series (en)
  • Ekonometrické modelování ekonomických časosových řad a modelvání pomocí RBF sítí (cs)
skos:prefLabel
  • Econometric and RBF Neural Network Modelling of Economic Time Series
  • Econometric and RBF Neural Network Modelling of Economic Time Series (en)
  • Ekonometrické modelování ekonomických časosových řad a modelvání pomocí RBF sítí (cs)
skos:notation
  • RIV/47813059:19240/07:#0000830!RIV08-GA0-19240___
http://linked.open.../vavai/riv/strany
  • 17-22
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/05/2768)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 418627
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/07:#0000830
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Fuzzy systems; classic RBF network; statistical modelling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ACEB15CE52C7]
http://linked.open...v/mistoKonaniAkce
  • Uherské Hradiště
http://linked.open...i/riv/mistoVydani
  • Kunovice
http://linked.open...i/riv/nazevZdroje
  • Fifth International Conference on Soft Computing Applied in Computer and Economic Environments
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Marček, Dušan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • European Polytechnical Institute Kunovice
https://schema.org/isbn
  • 80-7314-108-6
http://localhost/t...ganizacniJednotka
  • 19240
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