About: Time Series Prediction by means of GMDH Analogues Complexing and GAME     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
  • Pro predikci časové řady můžeme použít parametrický nebo neparametrický model. V tomto článku porovnáme vlastnosti obou přístupů pro krátkodobou a střednědobou predikci. Zaměříme se na metody GMDH AC a GAME, na medicínská data z nemocnice Motol a zemědělská data od firmy Hort Research Nový Zéland. (cs)
  • For time series prediction we can use either parametric or nonparametric models. In this paper we study properties of both approaches for short and medium term prediction intervals. We compare the accuracy of GMDH Analogues Complexing as typical nonparametric method and the Group of Adaptive Models Evolution (GAME) as a parametric method. In our study, we focus on medical data from Motol hospital in Prague and horticulture data from Hort Research New Zealand.
  • For time series prediction we can use either parametric or nonparametric models. In this paper we study properties of both approaches for short and medium term prediction intervals. We compare the accuracy of GMDH Analogues Complexing as typical nonparametric method and the Group of Adaptive Models Evolution (GAME) as a parametric method. In our study, we focus on medical data from Motol hospital in Prague and horticulture data from Hort Research New Zealand. (en)
Title
  • Time Series Prediction by means of GMDH Analogues Complexing and GAME
  • Time Series Prediction by means of GMDH Analogues Complexing and GAME (en)
  • Predikce časových řad pomocí GMDH AC a GAME algoritmů (cs)
skos:prefLabel
  • Time Series Prediction by means of GMDH Analogues Complexing and GAME
  • Time Series Prediction by means of GMDH Analogues Complexing and GAME (en)
  • Predikce časových řad pomocí GMDH AC a GAME algoritmů (cs)
skos:notation
  • RIV/68407700:21230/07:03133121!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • 278;287
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(KJB201210701), Z(MSM6840770012)
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
  • 455191
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03133121
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • GAME; GMDH AC; medical time series; parametric and non-parametric methods; time series prediction (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F3382801A181]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • IWIM 2007 - International Workshop on Inductive Modelling
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
  • Kordík, Pavel
  • Bouška, J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-03881-9
http://localhost/t...ganizacniJednotka
  • 21230
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, 116 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software