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Description
  • Algorithmic tools proposed allow pattern classification by neural networks into two categories including evaluation of selectivity, specificity and accuracy of the classification process. The optimal criterion found is used for evaluation of results achieved.
  • Algorithmic tools proposed allow pattern classification by neural networks into two categories including evaluation of selectivity, specificity and accuracy of the classification process. The optimal criterion found is used for evaluation of results achieved. (en)
Title
  • Neural Networks in Pattern Recognition
  • Neural Networks in Pattern Recognition (en)
skos:prefLabel
  • Neural Networks in Pattern Recognition
  • Neural Networks in Pattern Recognition (en)
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  • RIV/60461373:22340/12:43894303!RIV13-MSM-22340___
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  • Z(MSM6046137306)
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  • Systém umožňuje využití umělých neuronových sítí pro rychlou klasifikaci do dvou tříd.
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  • 153865
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  • RIV/60461373:22340/12:43894303
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  • 445-2012-15
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  • ROC curves; neural networks; pattern recognition; digital signal processing (en)
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  • [F6B13B5FC89A]
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  • Programový celek s možností výpočtu v systému MATLAB. Prof. Aleš Procházka, VŠCHT, ÚPŘT, 220444198, A.Prochazka@ieee.org
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  • Mareš, Jan
  • Procházka, Aleš
  • Vyšata, Oldřich
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  • 22340
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