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Description
  • Na začátku se uvádí základní struktura fuzzy systému jako jednouchá modelovací technika. Současně se charakterizují neuronové sítě založené na fuzzy logice a matematickém aparátu a poukazuje se na podobnost modelovacích technik založených a fuzzy systémech a RBF sítí. Následně se poskytuje architektura RBF sítě rozšířením aktivační funkce RBF neuronu. o cloud koncept. Poté je prezentovaná aplikace modelování a predikce časové řady tržeb firmy. Na ní jsou srovnané a vyhodnocované aproximační a predikční charakteristiky fuzzy modelu reprezentovaném různými architekturami soft RBF sítí s modely založenými na pravděpodobnostním počtu. (cs)
  • 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 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. Neural networks and fuzzy logic models are based on very similar underlying mathematics. 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)
Title
  • Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling
  • Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling (en)
  • Aproxmační a predkční schopnost růnych RBF a ganulárních sítí: Aplikace na modelovaní tržeb (cs)
skos:prefLabel
  • Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling
  • Approximation and Forecasting Ability of Various RBF and Granular NNW: Application to Sales Process Modelling (en)
  • Aproxmační a predkční schopnost růnych RBF a ganulárních sítí: Aplikace na modelovaní tržeb (cs)
skos:notation
  • RIV/47813059:19240/09:#0002223!RIV09-GA0-19240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/08/0022)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 303921
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/09:#0002223
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  • Probabilistic time-series models; Fuzzy system; Soft RBF network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [92412F3A72C7]
http://linked.open...v/mistoKonaniAkce
  • Hodonín
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  • Kunovice
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  • Seventh International Conference on Soft Computing Applied in Computer and Economic Environments - ICSC 2009
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
  • Marček, Milan
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
  • 978-80-7314-163-9
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  • 19240
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