An evolutionary approach to identification of nonlinear dynamic systems

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@InProceedings{witkor01,
  author =       "Marcin Witczak and Jozef Korbicz",
  title =        "An evolutionary approach to identification of
                 nonlinear dynamic systems",
  booktitle =    "Artificial neural nets and genetic algorithms :
                 proceedings of the International Conference",
  year =         "2001",
  editor =       "Vera Kurkova and Nigel V. Steele and Roman Neruda and 
                 Miroslav Karny",
  pages =        "240--243",
  address =      "Prague, Czech Republic",
  publisher =    "Springer-Verlag",
  email =        "M.Witczak@issi.uz.zgora.pl",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-211-83651-9",
  URL =          "http://www.springer.com/computer/ai/book/978-3-211-83651-4",
  abstract =     "In this paper a nonlinear identification methodology
                 founded upon NARX model description ispresented. In
                 particular, the model determination procedure is
                 decomposed into the elementarymodel structures
                 selection one . Those models are represented as
                 fixed-depth trees and a geneticalgorithm is used to
                 obtain their appropriate form. To show the
                 effectiveness of the proposedapproach, the final part
                 of the paper contains examples concerning modelling the
                 juice temperature at the outlet of an evaporator at the
                 Lublin sugar factory.",
  notes =        "Nov 2012 Currently out of stock",
}

Genetic Programming entries for Marcin Witczak Jozef Korbicz

Citations