Symbolic and numerical regression: Experiments and applications

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@Article{davidson:2003:IS,
  author =       "J. W. Davidson and D. A. Savic and G. A. Walters",
  title =        "Symbolic and numerical regression: Experiments and
                 applications",
  journal =      "Information Sciences",
  year =         "2003",
  volume =       "150",
  pages =        "95--117",
  number =       "1-2",
  DOI =          "doi:10.1016/S0020-0255(02)00371-7",
  URL =          "http://www.sciencedirect.com/science/article/B6V0C-474DD2V-1/2/3368220198ea15f93a793594af73d8d1",
  keywords =     "genetic algorithms, genetic programming, Least
                 squares, Rule-based programming, Stepwise regression,
                 Symbolic regression",
  abstract =     "This paper describes a new method for creating
                 polynomial regression models. The new method is
                 compared with stepwise regression and symbolic
                 regression using three example problems. The first
                 example is a polynomial equation. The two examples that
                 follow are real-world problems, approximating the
                 Colebrook-White equation and rainfall-runoff modelling.
                 The three example problems illustrate the advantages of
                 the new method.",
}

Genetic Programming entries for J W Davidson Dragan Savic Godfrey A Walters

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