Location of amide I mode of vibration in computed data utilizing constructed neural networks

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@Article{Papamokos200912210,
  author =       "G. V. Papamokos and I. G. Tsoulos and 
                 I. N. Demetropoulos and E. Glavas",
  title =        "Location of amide I mode of vibration in computed data
                 utilizing constructed neural networks",
  journal =      "Expert Systems with Applications",
  volume =       "36",
  number =       "10",
  pages =        "12210--12213",
  year =         "2009",
  ISSN =         "0957-4174",
  DOI =          "doi:10.1016/j.eswa.2009.04.065",
  URL =          "http://www.sciencedirect.com/science/article/B6V03-4W7YXRH-8/2/8b2abdb610b86ac95a3dfdbcef3d5a88",
  keywords =     "genetic algorithms, genetic programming, Neural
                 network, Amide I mode, Grammatical evolution",
  abstract =     "An automatic location method of amide I mode of
                 vibration between computed data is proposed, based on
                 the well established neural network model of artificial
                 intelligence. This method was developed by constructing
                 and testing the neural network on previously computed
                 and characterized data which were divided in the
                 training and the testing set, respectively. The results
                 show high level of success since the majority of amide
                 I modes of vibration in the testing set were located
                 99.5percent.",
}

Genetic Programming entries for G V Papamokos Ioannis G Tsoulos I N Demetropoulos Euripidis Glavas

Citations