Genetic programming techniques for hand written digit recognition

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

  author =       "A. D. Parkins and A. K. Nandi",
  title =        "Genetic programming techniques for hand written digit
  journal =      "Signal Processing",
  year =         "2004",
  volume =       "84",
  pages =        "2345--2365",
  number =       "12",
  abstract =     "Genetic programming is the implementation of the
                 paradigm of the survival of the fittest from the
                 natural world in the world of computation. Genetic
                 programming is used to automatically create solutions
                 to problems where the governing mechanisms are unknown.
                 we apply genetic programming to the recognition of hand
                 written digits from the USPS data set. To our knowledge
                 there have been no results presented on this data set
                 using genetic programming. We have introduced some
                 variations on the selection and evolution methods
                 normally used in genetic programming systems, in
                 particular: aged members, directed crossover,
                 inter-output crossover and node mutation.",
  owner =        "wlangdon",
  URL =          "",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, Evolutionary,
                 USPS, Hand-written, Digits, Classifier, Carrier nodes",
  DOI =          "doi:10.1016/j.sigpro.2004.07.027",

Genetic Programming entries for A D Parkins Asoke K Nandi