A New View on Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{weinert:2002:EuroGPa,
  title =        "A New View on Symbolic Regression",
  author =       "Klaus Weinert and Marc Stautner",
  editor =       "James A. Foster and Evelyne Lutton and 
                 Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
  booktitle =    "Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002",
  volume =       "2278",
  series =       "LNCS",
  pages =        "113--122",
  publisher =    "Springer-Verlag",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-43378-3",
  DOI =          "doi:10.1007/3-540-45984-7_11",
  abstract =     "Symbolic regression is a widely used method to
                 reconstruct mathematical correlations. This paper
                 presents a new graphical representation of the
                 individuals reconstructed in this process. This new
                 three dimensional representation allows the user to
                 recognize certain possibilities to improve his setup of
                 the process parameters. Furthermore this new
                 representation allows a wider usage of the generated
                 three dimensional objects with nearly every CAD program
                 for further use. To show the practical usage of this
                 new representation it was used to reconstruct
                 mathematical descriptions of the dynamics in a
                 machining process namely in orthogonal cutting.",
  notes =        "EuroGP'2002, part of \cite{lutton:2002:GP}",
}

Genetic Programming entries for Klaus Weinert Marc Stautner

Citations