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Description
  • V článku je aplikován SVM učící stroj pro automatizovanou identifikaci funkční formy modelu časové řady a pro učení (kvantifikaci) parametrů modelu. Pomocí SVM učícího stroje byly odhadnuté hodnoty časové řady vývoje mezd Slovenské republiky za období leden 2001 až prosinec 2006. Přesnost odhadu byla porovnaná s odhady získané pomocí modelů založené na Box-Jenkinsovém přístupu. Článek se také zabývá některými metodologickým aspekty dynamického modelování a modelováním pomocí SVMv v ekonomice a jejích použitím pro modelování časových řad. (cs)
  • SVM´s modelling approaches are used for automated specification of a functional form of the model and for training polynomial models. We provide the fit of the average nominal wages time series by SVM (Support Vector Machine) model over the period January 1,1991 to December 31, 2006 in the Slovak Republic, and use them as a tool to compare their forecasting abilities with those obtained using Box- Jenkins methodology. Some methodological contributions are made to dynamic and SVM´s modelling approaches in economics and to their use in time series modelling.
  • SVM´s modelling approaches are used for automated specification of a functional form of the model and for training polynomial models. We provide the fit of the average nominal wages time series by SVM (Support Vector Machine) model over the period January 1,1991 to December 31, 2006 in the Slovak Republic, and use them as a tool to compare their forecasting abilities with those obtained using Box- Jenkins methodology. Some methodological contributions are made to dynamic and SVM´s modelling approaches in economics and to their use in time series modelling. (en)
Title
  • Wages Forecasting Using Time Series Models Versus SVM Methods
  • Predikce mezd pomocí časových řad a SVM metody (cs)
  • Wages Forecasting Using Time Series Models Versus SVM Methods (en)
skos:prefLabel
  • Wages Forecasting Using Time Series Models Versus SVM Methods
  • Predikce mezd pomocí časových řad a SVM metody (cs)
  • Wages Forecasting Using Time Series Models Versus SVM Methods (en)
skos:notation
  • RIV/47813059:19240/08:#0000833!RIV08-GA0-19240___
http://linked.open.../vavai/riv/strany
  • 97-104
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
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 405505
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/08:#0000833
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Support vector machines; learning machines; time series analysis; time series forecasting (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [43D1ED304D02]
http://linked.open...v/mistoKonaniAkce
  • Uherské Hradiště
http://linked.open...i/riv/mistoVydani
  • Kunovice
http://linked.open...i/riv/nazevZdroje
  • Sixth 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
  • 978-80-7314-134-9
http://localhost/t...ganizacniJednotka
  • 19240
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