A Genetic Programming/Narmax Approach to Nonlinear System Identification

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "K. Rodriguez-Vazquez and P. Fleming",
  title =        "A Genetic Programming/Narmax Approach to Nonlinear
                 System Identification",
  booktitle =    "Second International Conference on Genetic Algorithms
                 in Engineering Systems: Innovations and Applications,
  year =         "1997",
  editor =       "Ali Zalzala",
  pages =        "409--414",
  address =      "University of Strathclyde, Glasgow, UK",
  publisher_address = "Savoy Place, London WC2R 0BL, UK",
  month =        "1-4 " # sep,
  publisher =    "Institution of Electrical Engineers",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-85296-693-8",
  URL =          "http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000409000001.pdf",
  DOI =          "doi:10.1049/cp:19971215",
  abstract =     "The tree-based coding structure of genetic programming
                 is explored as an alternative to the more usual linear
                 coding structure of conventional genetic algorithms for
                 use in nonlinear system identification. Based on
                 nonlinear polynomial model structures and the concept
                 of the NARMAX model, genetic programming is shown to be
                 effective in the selection of appropriate model
  notes =        "GALESIA'97 CP446",

Genetic Programming entries for Katya Rodriguez-Vazquez Peter J Fleming