Evolving Neural Network Structures by Means of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Wolfgang Golubski and Thomas Feuring",
  title =        "Evolving Neural Network Structures by Means of Genetic
  booktitle =    "Genetic Programming, Proceedings of EuroGP'99",
  year =         "1999",
  editor =       "Riccardo Poli and Peter Nordin and 
                 William B. Langdon and Terence C. Fogarty",
  volume =       "1598",
  series =       "LNCS",
  pages =        "211--220",
  address =      "Goteborg, Sweden",
  publisher_address = "Berlin",
  month =        "26-27 " # may,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-65899-8",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1598&spage=211",
  DOI =          "doi:10.1007/3-540-48885-5_18",
  abstract =     "The goal of this paper is to present a more efficient
                 way to automatically construct appropriate neural
                 network topologies as well as their initial weight
                 settings. Our approach combines evolutionary algorithms
                 and genetic programming techniques and is based on a
                 new network encoding schema where instead of a string
                 like encoding the graph representation of neural nets
                 is used. This way of encoding reduces the computational
                 expense and leads to a greater variety of network
  notes =        "EuroGP'99, part of \cite{poli:1999:GP}",

Genetic Programming entries for Wolfgang Golubski Thomas Feuring