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Description
  • Diskutuje se základná struktura fuzzy systému jako jednoduchá a stále ještěvýkoný 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)
  • 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 soft concept. 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 soft concept. 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)
Title
  • RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling
  • RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling (en)
  • Implementace fuzzy systému RBF neuronovou sítí: aplikace pro modelování časových řad (cs)
skos:prefLabel
  • RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling
  • RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling (en)
  • Implementace fuzzy systému RBF neuronovou sítí: aplikace pro modelování časových řad (cs)
skos:notation
  • RIV/47813059:19240/07:#0000822!RIV08-GA0-19240___
http://linked.open.../vavai/riv/strany
  • 500-507
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
  • 446465
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/07:#0000822
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • probabilistic time-series models; fuzzy system; classic and soft RBF network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DBB35E68A1FC]
http://linked.open...v/mistoKonaniAkce
  • Toronto
http://linked.open...i/riv/mistoVydani
  • Toronto, Kanada
http://linked.open...i/riv/nazevZdroje
  • Rough Sets and Knowledge Technology, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. 11th International Conference RSFDCrC 2007, Toronto, Canada, May 2007, LNAI 4482 Proceedings
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
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag. (Berlin; Heidelberg)
http://localhost/t...ganizacniJednotka
  • 19240
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