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  • The Oja neuron and its learning paradigm have been well known since 1982. The linear neuron is learned to obtain the main eigenvector and eigenvalue of signal covariance matrix. Lately the previous principle was extended to the other eigenvalues andeigenvectors. There is GHA learning in parallel style and APEX network for step-by-step learning. This paper is oriented to another way, how to improve Oja learning to be more reliable and faster then GHA or APEX.
  • The Oja neuron and its learning paradigm have been well known since 1982. The linear neuron is learned to obtain the main eigenvector and eigenvalue of signal covariance matrix. Lately the previous principle was extended to the other eigenvalues andeigenvectors. There is GHA learning in parallel style and APEX network for step-by-step learning. This paper is oriented to another way, how to improve Oja learning to be more reliable and faster then GHA or APEX. (en)
Title
  • Coming Back to Oja Learning
  • Coming Back to Oja Learning (en)
skos:prefLabel
  • Coming Back to Oja Learning
  • Coming Back to Oja Learning (en)
skos:notation
  • RIV/60461373:22340/02:00007038!RIV/2004/MSM/223404/N
http://linked.open.../vavai/riv/strany
  • 217;220
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 223400007)
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
  • 641199
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/02:00007038
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Oja learning; principle component analysis (PCA); orthogonal subspace; projection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F237B4E633D0]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proc. of 8th Int. Conference on Soft Computing MENDEL 2002
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kukal, Jaromír
  • Majerová, Dana
  • Kukalová, Milena
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
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 80-214-2135-5
http://localhost/t...ganizacniJednotka
  • 22340
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