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  • This paper presents a novel approach to neural network evolution. Genomes used in this evolution are based on well-described cellular encoding and a general mathematical idea of graph grammar. These genomes are optimized with genetic programming. This approach has been tested on the Iris flower data set to classify three iris flower species according to four measured quantities of each plant. Disadvantages and possible future improvements of this approach are listed in the end of the paper.
  • This paper presents a novel approach to neural network evolution. Genomes used in this evolution are based on well-described cellular encoding and a general mathematical idea of graph grammar. These genomes are optimized with genetic programming. This approach has been tested on the Iris flower data set to classify three iris flower species according to four measured quantities of each plant. Disadvantages and possible future improvements of this approach are listed in the end of the paper. (en)
Title
  • Cellular Graph Grammar Encoding of Neural Networks
  • Cellular Graph Grammar Encoding of Neural Networks (en)
skos:prefLabel
  • Cellular Graph Grammar Encoding of Neural Networks
  • Cellular Graph Grammar Encoding of Neural Networks (en)
skos:notation
  • RIV/70883521:28140/11:43866584!RIV13-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0089), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 189387
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/11:43866584
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • neural network, network encoding, evolutionary computation, genetic programming, topology, optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6830327C7A4B]
http://linked.open...v/mistoKonaniAkce
  • Vienna
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium %22Intelligent Manufacturing & Automation: Power of Knowledge and Creativity%22
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  • Fekiač, Jozef
  • Klimková, Eva
  • Pavlech, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1726-9679
number of pages
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  • DAAAM International Vienna
https://schema.org/isbn
  • 978-3-901509-83-4
http://localhost/t...ganizacniJednotka
  • 28140
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