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  • In standard BP-networks, hidden neuron outputs are usually spread over the whole interval (0,1). In this paper, we propose an efficient framework to enforce a transparent internal knowledge representation in BP-networks during training. We want the formed internal representations to differ as much as possible for different outputs. At the same time, the hidden neuron outputs will be forced to group around three possible values, namely 1, 0 and 0.5.
  • In standard BP-networks, hidden neuron outputs are usually spread over the whole interval (0,1). In this paper, we propose an efficient framework to enforce a transparent internal knowledge representation in BP-networks during training. We want the formed internal representations to differ as much as possible for different outputs. At the same time, the hidden neuron outputs will be forced to group around three possible values, namely 1, 0 and 0.5. (en)
  • V pripade standardnich BP-siti pokryvaji vystupy skrytych neuronu celý interval (0,1). Tento clanek navrhuje efektivni metodu pro vynuceni transparentni interni reprezentace znalosti v BP-sitich behem uceni. Vytvarene interni reprezentace by mely byt pro ruzne vystupy co mozna nejruznejsi. Vystupy skrytych neuronu by vsak zaroven mely lezet v blizkosti trech povolenych hodnot, totiz 1, 0 a 0.5. (cs)
Title
  • Improved generalization of neural classifiers with enforced internal representation
  • Generalizace neuronových klasifikátorů s vynucovanou interní reprezentací (cs)
  • Improved generalization of neural classifiers with enforced internal representation (en)
skos:prefLabel
  • Improved generalization of neural classifiers with enforced internal representation
  • Generalizace neuronových klasifikátorů s vynucovanou interní reprezentací (cs)
  • Improved generalization of neural classifiers with enforced internal representation (en)
skos:notation
  • RIV/00216208:11320/07:00005177!RIV08-AV0-11320___
http://linked.open.../vavai/riv/strany
  • 2940;2952
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300517), P(GA201/04/2102), Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika
  • 16-18
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
  • 425765
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/07:00005177
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Improved; generalization; neural; classifiers; enforced; internal; representation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [CA2F287A9A80]
http://linked.open...i/riv/nazevZdroje
  • Neurocomputing
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...v/svazekPeriodika
  • 70
http://linked.open...iv/tvurceVysledku
  • Mrázová, Iveta
http://linked.open...n/vavai/riv/zamer
issn
  • 0925-2312
number of pages
http://localhost/t...ganizacniJednotka
  • 11320
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