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Description
  • This multidisciplinary research analyzes the atmospheric pollution conditions of two different places in Czech Republic. The case study is based on real data provided by the Czech Hydrometeorological Institute along the period between 2006 and 2010. Seven variables with atmospheric pollution information are considered. Different Soft Computing models are applied to reduce the dimensionality of this data set and show the variability of the atmospheric pollution conditions among the two places selected, as well as the significant variability of the air quality along the time.
  • This multidisciplinary research analyzes the atmospheric pollution conditions of two different places in Czech Republic. The case study is based on real data provided by the Czech Hydrometeorological Institute along the period between 2006 and 2010. Seven variables with atmospheric pollution information are considered. Different Soft Computing models are applied to reduce the dimensionality of this data set and show the variability of the atmospheric pollution conditions among the two places selected, as well as the significant variability of the air quality along the time. (en)
Title
  • Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic
  • Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic (en)
skos:prefLabel
  • Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic
  • Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic (en)
skos:notation
  • RIV/61989100:27740/13:86089244!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
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
  • 106029
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86089244
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • statistical models; soft computing; meteorology; environmental conditions; Artificial neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8B309F5CA396]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Advances in Intelligent Systems and Computing. Volume 189
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
  • Snášel, Václav
  • Arroyo, A.
  • Corchado, E.
  • García-Hernández, L.
  • Tricio, V.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-32922-7_55
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-33017-9
http://localhost/t...ganizacniJednotka
  • 27740
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