Template learning of cellular neural network using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Elsayed Radwan and Eiichiro Tazaki",
  title =        "Template learning of cellular neural network using
                 genetic programming",
  journal =      "International Journal of Neural Systems",
  volume =       "14",
  number =       "4",
  year =         "2004",
  pages =        "247--256",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  keywords =     "genetic algorithms, genetic programming, Cellular
                 Neural Networks, cloning template",
  DOI =          "doi:10.1142/S0129065704002030",
  abstract =     "A new learning algorithm for space invariant Uncoupled
                 Cellular Neural Network is introduced. Learning is
                 formulated as an optimisation problem. Genetic
                 Programming has been selected for creating new
                 knowledge because they allow the system to find new
                 rules both near to good ones and far from them, looking
                 for unknown good control actions. According to the
                 lattice Cellular Neural Network architecture, Genetic
                 Programming will be used in deriving the Cloning
                 Template. Exploration of any stable domain is possible
                 by the current approach. Details of the algorithm are
                 discussed and several application results are shown.",
  notes =        "Department of Control and System Engineering, Toin
                 University of Yokohama, 1614 Kurogane-cho, Aoba-ku,
                 Yokohama 225-8502, Japan

                 PMID: 15372702",

Genetic Programming entries for Elsayied Radwan Eiichiro Tazaki