About: Wages Forecasting Using Time Series Models Versus SVM Methods     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software