Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@TechReport{Pujol99,
  author =       "Joao Carlos Figueira Pujol and Riccardo Poli",
  title =        "Evolving the Architecture and Weights of Neural
                 Networks Using a Weight Mapping Approach",
  institution =  "University of Birmingham, School of Computer Science",
  number =       "CSRP-99-05",
  month =        "10 " # feb,
  year =         "1999",
  type =         "Technical Report",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  file =         "/1999/CSRP-99-05.ps.gz",
  URL =          "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-05.ps.gz",
  abstract =     "The application of genetic programming to the
                 evolution of neural networks has been hindered by the
                 inadequacy of parse trees to represent oriented graphs,
                 and by the lack of a good mechanism for encoding the
                 weights. In this work, a hybrid method is introduced,
                 where genetic programming evolves a mapping function to
                 adapt the weights, whereas a genetic algorithm-based
                 approach evolves the architecture. Results on the
                 application of the new method to the evolution of
                 feedforward and recurrent neural networks are
                 reported.",
  size =         "14 pages",
}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

Citations