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Description
  • In this paper we develop two methods that are able to analyze and recognize patterns in time series. The first model is based on analytic programming (AP). The second one uses an artificial neural network that is adapted by backpropagation. This paper also includes experimental results of time series pattern recognition carried out with both mentioned methods, which have proven their suitability for this type of problem solving.
  • In this paper we develop two methods that are able to analyze and recognize patterns in time series. The first model is based on analytic programming (AP). The second one uses an artificial neural network that is adapted by backpropagation. This paper also includes experimental results of time series pattern recognition carried out with both mentioned methods, which have proven their suitability for this type of problem solving. (en)
Title
  • Time Series Pattern Recognition via SoftComputing
  • Time Series Pattern Recognition via SoftComputing (en)
skos:prefLabel
  • Time Series Pattern Recognition via SoftComputing
  • Time Series Pattern Recognition via SoftComputing (en)
skos:notation
  • RIV/61988987:17310/11:A14012KE!RIV14-MSM-17310___
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
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  • 235366
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/11:A14012KE
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  • analytic programming; neural network; pattern recognition; evolution (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1457F47CD537]
http://linked.open...v/mistoKonaniAkce
  • Barcelona
http://linked.open...i/riv/mistoVydani
  • Barcelona
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
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  • Janošek, Michal
  • Oplatková, Zuzana
  • Volná, Eva
  • Šenkeřík, Roman
  • Kotyrba, Martin
  • Kocian, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • EEE-CS Press
https://schema.org/isbn
  • 978-1-4577-1448-1
http://localhost/t...ganizacniJednotka
  • 17310
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