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Description
  • The recurrent Neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to discovery of voting patterns in the Russian parliament. The method of sequential factor extraction, based on the Lyapunov function is discussed in deep. Efficiency of this attempt is shown on simulated data and on real data from Russian parliament as well.
  • The recurrent Neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to discovery of voting patterns in the Russian parliament. The method of sequential factor extraction, based on the Lyapunov function is discussed in deep. Efficiency of this attempt is shown on simulated data and on real data from Russian parliament as well. (en)
  • Asociativní paměť Hoppfieldova typu s paralelní dynamikou implementující binární faktorový analyzátor pro datové soubory velké dimenze a složitosti byl aplikována na úlohu vyhledávání volebních vzorů v Ruském parlamentě. Efektivita metody je ukázána též na simulovaných datech. Poměrně zevrubně je i popsána metoda sekvenčního vyhledávání faktorů uložených v síti. (cs)
Title
  • Neural Network Analysis of Russian Parliament Voting Patterns
  • Neural Network Analysis of Russian Parliament Voting Patterns (en)
  • Analýza volebních výsledků v ruském parlamentu pomocí neuronových sítí (cs)
skos:prefLabel
  • Neural Network Analysis of Russian Parliament Voting Patterns
  • Neural Network Analysis of Russian Parliament Voting Patterns (en)
  • Analýza volebních výsledků v ruském parlamentu pomocí neuronových sítí (cs)
skos:notation
  • RIV/67985807:_____/06:00032259!RIV07-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 328;334
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300414), P(GA201/05/0079), Z(AV0Z10300504)
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
  • 488389
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/06:00032259
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • neural networks; associative memory; recurrent neural network; Boolean factor analysis; clustering; data mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5CC8437DB3DE]
http://linked.open...v/mistoKonaniAkce
  • Amman
http://linked.open...i/riv/mistoVydani
  • Amman
http://linked.open...i/riv/nazevZdroje
  • Computer Science and Information Technology
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
  • Frolov, A. A.
  • Húsek, Dušan
  • Polyakov, P. Y.
  • Řezanková, H.
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
  • Applied Science Private University
https://schema.org/isbn
  • 9957-8592-0-X
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