Genetic programming techniques for hand written digit recognition

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Parkins:2004:SP,

• author = "A. D. Parkins and A. K. Nandi",
• title = "Genetic programming techniques for hand written digit recognition",
• 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 = "http://www.sciencedirect.com/science/article/B6V18-4D97VPC-1/2/02c6c5f13df1cd61df6f08b96e3911a4",
• 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

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