Multi-expression programming based model for prediction of formation enthalpies of nitro-energetic materials

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@Article{journals/es/BagheriGBS13,
  author =       "Mehdi Bagheri and Amir Hossein Gandomi and 
                 Mehrdad Bagheri and Mohcen Shahbaznezhad",
  title =        "Multi-expression programming based model for
                 prediction of formation enthalpies of nitro-energetic
                 materials",
  journal =      "Expert Systems",
  year =         "2013",
  volume =       "30",
  number =       "1",
  pages =        "66--78",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming,
                 nitro-energetic materials, multi-expression
                 programming, formation enthalpy, QSPR",
  DOI =          "doi:10.1111/j.1468-0394.2012.00623.x",
  size =         "33 pages",
  abstract =     "There has been considerable interest in predicting the
                 properties of nitro-energetic materials to improve
                 their performance. Not to mention insightful physical
                 knowledge, computational-aided molecular studies can
                 expedite the synthesis of novel energetic materials
                 through cost reduction labours and risky experimental
                 tests. In this paper, quantitative structure-property
                 relationship based on multi-expression programming
                 employed to correlate the formation enthalpies of
                 frequently used nitro-energetic materials with their
                 molecular properties. The simple yet accurate obtained
                 model is able to correlate the formation enthalpies of
                 nitro-energetic materials to their molecular structure
                 with the accuracy comparable to experimental
                 precision.",
}

Genetic Programming entries for Mehdi Bagheri A H Gandomi Mehrdad Bagheri Mohcen Shahbaznezhad

Citations