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  • 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 length.
  • 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 length. (en)
  • Diskutuje se základní struktura fuzzy systému jako jednoduchý a stále ještě výkoný modelovací nástroj. Neuronové sítě a systémy založené na fuzzy logice se zakládají na velice podobném matematickém aparátu. Detailně se zkoumá podobnost mezi RBF neuronovými sítěmi a fuzzy modely. Rozšiřuje se RBF síť zakomponováním soft konceptu. Nakonec je diskutovaná a porovnávaná aproximační a predikční přesnost ekonomických časových řad s různými typy RBF sítí s fuzzy a statistickými modely. (cs)
Title
  • RBF neural network implementation of fuzzy systems: Application to time series modeling
  • Implementace fuzzy systému RBF neuronovou sítí: aplikace pro modelování časových řad (cs)
  • RBF neural network implementation of fuzzy systems: Application to time series modeling (en)
skos:prefLabel
  • RBF neural network implementation of fuzzy systems: Application to time series modeling
  • Implementace fuzzy systému RBF neuronovou sítí: aplikace pro modelování časových řad (cs)
  • RBF neural network implementation of fuzzy systems: Application to time series modeling (en)
skos:notation
  • RIV/47813059:19240/07:#0001867!RIV09-MSM-19240___
http://linked.open...avai/riv/aktivita
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  • S
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  • 446464
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  • RIV/47813059:19240/07:#0001867
http://linked.open...riv/jazykVysledku
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  • fuzzy systems; fuzzy modelling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A8F2FF8923CC]
http://linked.open...v/mistoKonaniAkce
  • Toronto
http://linked.open...i/riv/mistoVydani
  • Toronto
http://linked.open...i/riv/nazevZdroje
  • Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Marček, Dušan
  • Marček, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
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  • Neuveden
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  • 978-3-540-72529-9
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  • 19240
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