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Description
  • Presented algorithm deals with problem of chaotic system identification and description using Genetic Programming Algorithm. To prevent random perturberations caused complicated identification of regression model parameters, hybrid GPA-ES model is applied. As a test case, Lorenz attractor data are used and this model is restored from data by above mentioned GPA-ES model. During the work, interesting influence of fitness function computation strategy was identified. The paper concludes by comparison of two possible strategies - computation of data in each step of time series when original data are used on the place of initial state and continuous computation of whole time series from single starting point.
  • Presented algorithm deals with problem of chaotic system identification and description using Genetic Programming Algorithm. To prevent random perturberations caused complicated identification of regression model parameters, hybrid GPA-ES model is applied. As a test case, Lorenz attractor data are used and this model is restored from data by above mentioned GPA-ES model. During the work, interesting influence of fitness function computation strategy was identified. The paper concludes by comparison of two possible strategies - computation of data in each step of time series when original data are used on the place of initial state and continuous computation of whole time series from single starting point. (en)
Title
  • Symbolic regression of deterministic chaos
  • Symbolic regression of deterministic chaos (en)
skos:prefLabel
  • Symbolic regression of deterministic chaos
  • Symbolic regression of deterministic chaos (en)
skos:notation
  • RIV/68407700:21260/11:00185697!RIV12-MSM-21260___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770043)
http://linked.open...vai/riv/dodaniDat
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  • 233721
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  • RIV/68407700:21260/11:00185697
http://linked.open...riv/jazykVysledku
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  • deterministic chaos; symbolic regression; genetic programming algorithm; evolutionary strategy; Lorenz attractor (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1814CB9B9B60]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 17th International Conference on Soft Computing (MENDEL 2011)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
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  • Brandejský, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1803-3814
number of pages
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  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4302-0
http://localhost/t...ganizacniJednotka
  • 21260
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