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Description
  • This paper deals with using a neural network in field of recognition weather impacts on a telecommunication network. In this work was analyzed data from a meteorological service from VŠB-Technical University of Ostrava and GSM signal. For this purpose was studied and used theory of multilayer perceptron network with back propagation algorithm for clustering.
  • This paper deals with using a neural network in field of recognition weather impacts on a telecommunication network. In this work was analyzed data from a meteorological service from VŠB-Technical University of Ostrava and GSM signal. For this purpose was studied and used theory of multilayer perceptron network with back propagation algorithm for clustering. (en)
Title
  • Use of Neural Networks in Recognition of Weather Impact on Radio Signal
  • Use of Neural Networks in Recognition of Weather Impact on Radio Signal (en)
skos:prefLabel
  • Use of Neural Networks in Recognition of Weather Impact on Radio Signal
  • Use of Neural Networks in Recognition of Weather Impact on Radio Signal (en)
skos:notation
  • RIV/61989100:27240/11:86079724!RIV12-MSM-27240___
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  • S
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  • 237239
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86079724
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  • clustering; data mining; weather; neural network; GSM (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [01B094AA3DCC]
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  • Těchov
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  • Brno
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  • 13th International Conference on Research in Telecommunication Technologies 2011
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  • Blaha, Petr
  • Dvorský, Marek
  • Šebesta, Roman
  • Michalek, Libor
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number of pages
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  • Vysoké učení technické v Brně
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  • 978-80-214-4283-2
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  • 27240
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