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  • Evolutionary algorithms represent a group of stochastic calculation methods that are inspired by actions in live nature. These methods are suitable to apply to problems that can be solved only with difficulty by the classical deterministic mathematical methods, or where the application of exact calculation methods demands unreasonable task simplification. Non-linear regression and prediction also belong among these tasks. Although mathematical statistics gives a lot of methods for the solution of linear regression tasks, very often it is not possible to use these methods. A majority of real tasks have a non-linear status and that is why linear regression methods can be used only for short intervals of the definition domain or only under very limited conditions. That is why it can be convenient to use evolution methods for the solution of non-linear regression tasks, e.g. genetic algorithms.
  • Evolutionary algorithms represent a group of stochastic calculation methods that are inspired by actions in live nature. These methods are suitable to apply to problems that can be solved only with difficulty by the classical deterministic mathematical methods, or where the application of exact calculation methods demands unreasonable task simplification. Non-linear regression and prediction also belong among these tasks. Although mathematical statistics gives a lot of methods for the solution of linear regression tasks, very often it is not possible to use these methods. A majority of real tasks have a non-linear status and that is why linear regression methods can be used only for short intervals of the definition domain or only under very limited conditions. That is why it can be convenient to use evolution methods for the solution of non-linear regression tasks, e.g. genetic algorithms. (en)
Title
  • Evolutionary Algorithms for Managing New Network Elements
  • Evolutionary Algorithms for Managing New Network Elements (en)
skos:prefLabel
  • Evolutionary Algorithms for Managing New Network Elements
  • Evolutionary Algorithms for Managing New Network Elements (en)
skos:notation
  • RIV/00216305:26220/09:PU84970!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/1503), Z(MSM0021630513), Z(MSM0021630529)
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
  • 313991
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/09:PU84970
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Differential Evolution, Evolutionary Algorithm, Grammatical Evolution, Network Element, Two-level Grammatical Evolution. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1B8E695FDEAE]
http://linked.open...v/mistoKonaniAkce
  • Srby
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Conference Proceedings for 11th International Conference RTT 2009, Research in Telecommunication Technology
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
  • Škorpil, Vladislav
  • Šťastný, Jiří
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
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-04410-0
http://localhost/t...ganizacniJednotka
  • 26220
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