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Description
  • Není k dispozici (cs)
  • In the original Multilayered Iterative Algorithm the exhaustive search is used to find and select units with the best transfer function, connected to most relevant inputs. Recently, several modifications using standard genetic algorithms instead of exhaustive search appeared. This paper shows how to improve the efficiency of search by evolving non-correlated units (active neurons). This is attained by employing Deterministic Crowding (DC) method proposed by Mahfoud in 1995. As a by-product of using DC method, we can estimate the importance of input variables for modelled output (feature ranking).
  • In the original Multilayered Iterative Algorithm the exhaustive search is used to find and select units with the best transfer function, connected to most relevant inputs. Recently, several modifications using standard genetic algorithms instead of exhaustive search appeared. This paper shows how to improve the efficiency of search by evolving non-correlated units (active neurons). This is attained by employing Deterministic Crowding (DC) method proposed by Mahfoud in 1995. As a by-product of using DC method, we can estimate the importance of input variables for modelled output (feature ranking). (en)
Title
  • Deterministic Crowding Helps to Evolve Non-correlated Active Neurons
  • Není k dispozici (cs)
  • Deterministic Crowding Helps to Evolve Non-correlated Active Neurons (en)
skos:prefLabel
  • Deterministic Crowding Helps to Evolve Non-correlated Active Neurons
  • Není k dispozici (cs)
  • Deterministic Crowding Helps to Evolve Non-correlated Active Neurons (en)
skos:notation
  • RIV/68407700:21230/05:03115266!RIV06-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 21 ; 28
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
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
  • 517682
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/05:03115266
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Deterministic Crowding, Niching Genetic Algorithm, Inductive Modelling, GMDH, GAME, Feature Ranking (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BA705D72738F]
http://linked.open...v/mistoKonaniAkce
  • Kyjev
http://linked.open...i/riv/mistoVydani
  • Kyjev
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Workshop on Inductive Modeling IWIM-2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kordík, Pavel
  • Šnorek, Miroslav
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
  • Akademie věd Ukrajiny, ústav kybernetiky V.M.Gluškova
https://schema.org/isbn
  • 966-02-3734-0
http://localhost/t...ganizacniJednotka
  • 21230
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