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  • The peculiarity of usage the Hopfield-like network for Boolean factor analysis is the appearance of two global spurious attractors. They become dominant and, therefore, prevent successful factors search. To eliminate these attractors we propose a special unlearning procedure. This second unlearning procedure provides the suppression of factors with the largest attraction basins which dominate after suppression of global spurious attractors and prevent the recall of other factors. The origin of the global spurious attractors and the efficiency of the unlearning procedures are investigated in the present paper.
  • The peculiarity of usage the Hopfield-like network for Boolean factor analysis is the appearance of two global spurious attractors. They become dominant and, therefore, prevent successful factors search. To eliminate these attractors we propose a special unlearning procedure. This second unlearning procedure provides the suppression of factors with the largest attraction basins which dominate after suppression of global spurious attractors and prevent the recall of other factors. The origin of the global spurious attractors and the efficiency of the unlearning procedures are investigated in the present paper. (en)
Title
  • Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis
  • Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis (en)
skos:prefLabel
  • Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis
  • Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis (en)
skos:notation
  • RIV/67985807:_____/10:00331155!RIV11-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 268076
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  • RIV/67985807:_____/10:00331155
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  • Boolean factor analysis; Hopfield-like neural network; spurious attractors; statistics; bingy data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F640DD7B972E]
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...vEdiceCisloSvazku
  • Studies in Computational Intelligence, 262
http://linked.open...i/riv/nazevZdroje
  • Advances in Machine Learning I
http://linked.open...in/vavai/riv/obor
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http://linked.open...iv/tvurceVysledku
  • Frolov, A. A.
  • Húsek, Dušan
  • Polyakov, P. Y.
  • Muraviev, I. P.
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-05176-0
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