An improved genetic programming technique for the classification of Raman spectra

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@Article{journals/kbs/HennessyMCR05,
  title =        "An improved genetic programming technique for the
                 classification of Raman spectra",
  author =       "Kenneth Hennessy and Michael G. Madden and 
                 Jennifer Conroy and Alan G. Ryder",
  journal =      "Knowledge Based Systems",
  year =         "2005",
  number =       "4-5",
  volume =       "18",
  pages =        "217--224",
  month =        aug,
  note =         "AI-2004, Cambridge, England, 13th-15th December 2004",
  bibdate =      "2005-11-24",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/kbs/kbs18.html#HennessyMCR05",
  keywords =     "genetic algorithms, genetic programming, Machine
                 learning, Neural networks, Spectroscopy, Raman",
  DOI =          "doi:10.1016/j.knosys.2004.10.001",
  abstract =     "The aim of this study is to evaluate the effectiveness
                 of genetic programming relative to that of more
                 commonly-used methods for the identification of
                 components within mixtures of materials using Raman
                 spectroscopy. A key contribution of the genetic
                 programming technique proposed in this research is that
                 it explicitly aims to optimise the certainty levels
                 associated with discovered rules, so as to minimize the
                 chance of misclassification of future samples.",
}

Genetic Programming entries for Kenneth Hennessy Michael G Madden Jennifer Conroy Alan G Ryder

Citations