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  • This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.
  • This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures. (en)
  • This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures. (cs)
Title
  • Neural Networks Learning Methods For Image Processing Application
  • Neural Networks Learning Methods For Image Processing Application (en)
  • Učící metody neuronových sítí pro aplikace zpracování obrazu (cs)
skos:prefLabel
  • Neural Networks Learning Methods For Image Processing Application
  • Neural Networks Learning Methods For Image Processing Application (en)
  • Učící metody neuronových sítí pro aplikace zpracování obrazu (cs)
skos:notation
  • RIV/00216305:26220/05:PU52077!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany
  • 25-30
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/03/0560), Z(MSM0021630513)
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
  • 532556
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/05:PU52077
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neural Networks, Genetic Algorithms, Image Processing, Pattern Recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CB29426F133F]
http://linked.open...v/mistoKonaniAkce
  • Rio de Janeiro
http://linked.open...i/riv/mistoVydani
  • Brazílie
http://linked.open...i/riv/nazevZdroje
  • WSEAS International Conference
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
  • Škorpil, Vladislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS
https://schema.org/isbn
  • 960-8457-17-3
http://localhost/t...ganizacniJednotka
  • 26220
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