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Description
  • Článek popisuje aplikace evolučních algoritmů na analýzu enviromentálních a ekonomických dat. Je popsán standardní genetický algoritmus a jeho operátory, dále je popsáno rozšíření tohoto algoritmu - gramatická evoluce, které bylo použito pro automatické generování regresních modelů výnosu úrody. Gramatická evoluce je algorimus schopný generovat symbolické reprezentace matematických modelů. Je popsána gramatika použitá pro grenerování modelů v symbolické formě a jsou pospsány dva nové modely porovnané se existujícím empirickým modelem. (cs)
  • This paper describes the application of evolutionary algorithms to enviromenta and economical data analysis. The standard genetic algorithm and its operators are described. In particular the extension to the genetic algorithm - a grammatical evolution algorithm was used to generate automatically new regression models of crop yield data. The grammatical evolution is an algorithm capable of generating symbolic representations of mathematical models. The grammar used for generating the models in symbolic form is described and two new generated models are presented and the results are compared to an existing empirical model.
  • This paper describes the application of evolutionary algorithms to enviromenta and economical data analysis. The standard genetic algorithm and its operators are described. In particular the extension to the genetic algorithm - a grammatical evolution algorithm was used to generate automatically new regression models of crop yield data. The grammatical evolution is an algorithm capable of generating symbolic representations of mathematical models. The grammar used for generating the models in symbolic form is described and two new generated models are presented and the results are compared to an existing empirical model. (en)
Title
  • Generation of mathematic models for enviromental data analysis
  • Generation of mathematic models for enviromental data analysis (en)
  • Generování matematických modelů pro analýzu enviromentálních dat (cs)
skos:prefLabel
  • Generation of mathematic models for enviromental data analysis
  • Generation of mathematic models for enviromental data analysis (en)
  • Generování matematických modelů pro analýzu enviromentálních dat (cs)
skos:notation
  • RIV/62156489:43110/07:00111823!RIV08-MSM-43110___
http://linked.open.../vavai/riv/strany
  • 61;66
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6215648904)
http://linked.open...iv/cisloPeriodika
  • 2A
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
  • 423092
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/07:00111823
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • genetic algorithms; grammatical evolution; symbolic regression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • RO - Rumunsko
http://linked.open...ontrolniKodProRIV
  • [C1B78914F60E]
http://linked.open...i/riv/nazevZdroje
  • Management si Inginerie Economica
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 6
http://linked.open...iv/tvurceVysledku
  • Popelka, Ondřej
  • Šťastný, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 1583-624X
number of pages
http://localhost/t...ganizacniJednotka
  • 43110
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