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Description
  • A new way of comparing models for forecasting was created. The confronted models are neural networks (feed-forward neural networks and Elman's simple recurrent neural networks), ARMA models (AR and ARMA), random forecast, a trivial forecast of future value by the last known value and moving average forecast. winning model is the one which earns the most money.
  • A new way of comparing models for forecasting was created. The confronted models are neural networks (feed-forward neural networks and Elman's simple recurrent neural networks), ARMA models (AR and ARMA), random forecast, a trivial forecast of future value by the last known value and moving average forecast. winning model is the one which earns the most money. (en)
Title
  • Comparing neural networks with other predictive models in artificial stock market
  • Comparing neural networks with other predictive models in artificial stock market (en)
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  • Comparing neural networks with other predictive models in artificial stock market
  • Comparing neural networks with other predictive models in artificial stock market (en)
skos:notation
  • RIV/00216208:11320/12:10130827!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP402/12/G097)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 127844
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  • RIV/00216208:11320/12:10130827
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  • arti cial market; ARMA; Neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C0A91D085031]
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  • Karviná
http://linked.open...i/riv/mistoVydani
  • Karviná
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  • Mathematical Methods in Economics 2012 Proceedings
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http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Krtek, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Slezská univerzita v Opavě
https://schema.org/isbn
  • 978-80-7248-779-0
http://localhost/t...ganizacniJednotka
  • 11320
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