About: Memetic Evolutionary Learning for Local Unit Networks     Goto   Sponge   NotDistinct   Permalink

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Description
  • In this work we propose two hybrid algorithms combining evolutionary search with optimization algorithms. One algorithm memetically combines global evolution with gradient descent local search, while the other is a two-step procedure combining linear optimization with evolutionary search. It is shown that these algorithms typically produce smaller local unit networks with performance similar to theoretically sound but large regularization networks.
  • In this work we propose two hybrid algorithms combining evolutionary search with optimization algorithms. One algorithm memetically combines global evolution with gradient descent local search, while the other is a two-step procedure combining linear optimization with evolutionary search. It is shown that these algorithms typically produce smaller local unit networks with performance similar to theoretically sound but large regularization networks. (en)
Title
  • Memetic Evolutionary Learning for Local Unit Networks
  • Memetic Evolutionary Learning for Local Unit Networks (en)
skos:prefLabel
  • Memetic Evolutionary Learning for Local Unit Networks
  • Memetic Evolutionary Learning for Local Unit Networks (en)
skos:notation
  • RIV/67985807:_____/10:00345155!RIV11-GA0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/08/1744), 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
  • 270318
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/10:00345155
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • radial basis function networks; evolutionary algorithms; memetic algorithms (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EB211CBE51C9]
http://linked.open...v/mistoKonaniAkce
  • Shanghai
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Advances in Neural Networks – ISNN 2010
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
  • Neruda, Roman
  • Vidnerová, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000279593300068
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-13277-3
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