Neural network construction and training using grammatical evolution

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  author =       "Ioannis Tsoulos and Dimitris Gavrilis and 
                 Euripidis Glavas",
  title =        "Neural network construction and training using
                 grammatical evolution",
  journal =      "Neurocomputing",
  volume =       "72",
  number =       "1-3",
  pages =        "269--277",
  year =         "2008",
  note =         "Machine Learning for Signal Processing (MLSP 2006) /
                 Life System Modelling, Simulation, and Bio-inspired
                 Computing (LSMS 2007)",
  ISSN =         "0925-2312",
  DOI =          "doi:10.1016/j.neucom.2008.01.017",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Neural network, Context-free grammar",
  abstract =     "The term neural network evolution usually refers to
                 network topology evolution leaving the network's
                 parameters to be trained using conventional algorithms.
                 In this paper we present a new method for neural
                 network evolution that evolves the network topology
                 along with the network parameters. The proposed method
                 uses grammatical evolution to encode both the network
                 and the parameters space. This allows for a better
                 description of the network using a formal grammar
                 allowing the network architect to shape the resulting
                 search space in order to meet each problem requirement.
                 The proposed method is compared with other three
                 methods for neural network training and is evaluated
                 using 9 known classification problems and 9 known
                 regression problems. In all 18 datasets, the proposed
                 method outperforms its competitors.",

Genetic Programming entries for Ioannis G Tsoulos Dimitris Gavrilis Euripidis Glavas