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  • : This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Programming (AP) by means of the ANN creation, learning and optimization. This process encompasses four different fields: Evolutionary Algorithms, Symbolic Regression, ANN and parallel computing to successfully synthesize a suitable ANN within a reasonable time. ANN synthesis proved to be a useful and efficient tool for nonlinear modeling and its results were applied to intelligent system controlling an energetic framework of an urban agglomeration. Furthermore, the ANN synthesis proved to have the ability to synthesize smaller ANN than the Genetic Programming (GP) while simultaneously almost infinitely complex ANN can be synthesized by the application of multiple evolution loops. This process can also produce ANN with feed forward branching, which is an unavailable quality for the GP.
  • : This report describes a feed forward Artificial Neural Network (ANN) synthesis via an Analytic Programming (AP) by means of the ANN creation, learning and optimization. This process encompasses four different fields: Evolutionary Algorithms, Symbolic Regression, ANN and parallel computing to successfully synthesize a suitable ANN within a reasonable time. ANN synthesis proved to be a useful and efficient tool for nonlinear modeling and its results were applied to intelligent system controlling an energetic framework of an urban agglomeration. Furthermore, the ANN synthesis proved to have the ability to synthesize smaller ANN than the Genetic Programming (GP) while simultaneously almost infinitely complex ANN can be synthesized by the application of multiple evolution loops. This process can also produce ANN with feed forward branching, which is an unavailable quality for the GP. (en)
Title
  • NEURAL NETWORK SYNTHESIS
  • NEURAL NETWORK SYNTHESIS (en)
skos:prefLabel
  • NEURAL NETWORK SYNTHESIS
  • NEURAL NETWORK SYNTHESIS (en)
skos:notation
  • RIV/70883521:28140/12:43868836!RIV13-MSM-28140___
http://linked.open...avai/predkladatel
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
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 153862
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/12:43868836
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neural Network, Analytic Programming, SOMA, optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AE768DE1D2F7]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 18th International Conference on Soft Computing
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
  • Vařacha, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1803-3814
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4540-6
http://localhost/t...ganizacniJednotka
  • 28140
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