An evolutionary approach to identification problems with incomplete output data

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@InProceedings{Imae:2008:SICE,
  author =       "Joe Imae and Yasuhiko Morita and Guisheng Zhai and 
                 Tomoaki Kobayashi",
  title =        "An evolutionary approach to identification problems
                 with incomplete output data",
  booktitle =    "SICE Annual Conference",
  year =         "2008",
  month =        "20-22 " # aug,
  address =      "Japan",
  pages =        "2262--2265",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 algorithm, nonlinear system identification problems,
                 identification, nonlinear control systems",
  DOI =          "doi:10.1109/SICE.2008.4655041",
  abstract =     "In this paper, we consider nonlinear system
                 identification problems in the case where output data
                 is incomplete. We propose an identification method
                 based on an evolutionary algorithm, which is a fusion
                 of a genetic algorithm (GA) and genetic programming
                 (GP), and illustrate the effectiveness of the proposed
                 method through a simulation and an experiment with a
                 cart.",
  notes =        "Also known as \cite{4655041}",
}

Genetic Programming entries for Joe Imae Yasuhiko Morita Guisheng Zhai Tomoaki Kobayashi

Citations