Evolution of the Topology and the Weights of Neural Networks using Genetic Programming with a Dual Representation

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@Article{Pujol:1998:etwNNGP,
  author =       "Joao Carlos Figueira Pujol and Riccardo Poli",
  title =        "Evolution of the Topology and the Weights of Neural
                 Networks using Genetic Programming with a Dual
                 Representation",
  journal =      "Applied Intelligence",
  year =         "1998",
  volume =       "8",
  pages =        "73--84",
  email =        "J.Pujol@cs.bham.ac.uk R.Poli@cs.bham.ac.uk",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 computation, neural networks, PDGP",
  broken =       "http://www.urano.cdtn.br/~pujol/ai98.ps",
  URL =          "http://cswww.essex.ac.uk/staff/poli/papers/Pujol-AI-1998.pdf",
  URL =          "http://citeseer.ist.psu.edu/336222.html",
  URL =          "http://citeseer.ist.psu.edu/322291.html",
  DOI =          "doi:10.1023/A:1008272615525",
  size =         "12 pages",
  abstract =     "Evolutionary computation is a class of global search
                 techniques based on the learning process of a
                 population of potential solutions to a given problem,
                 that has been successfully applied to a variety of
                 problems. In this paper a new approach to the
                 construction of neural networks based on evolutionary
                 computation is presented. A linear chromosome combined
                 to a graph representation of the network are used by
                 genetic operators, which allow the evolution of the
                 architecture and the weights simultaneously without the
                 need of local weight optimization. This paper describes
                 the approach, the operators and reports results of the
                 application of this technique to several binary
                 classification problems.",
  notes =        "see also \cite{Pujol:1997:etwNNGP} XOR, 3,4,5 odd
                 parity, T an C character (TC) recognition problem",
}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

Citations