QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming

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@Article{journals/jdcta/ZhangDC10,
  title =        "{QSPR} Study Of Mineral Crystal Lattice Energy Based
                 On Gene Expression Programming",
  author =       "Yuntao Zhang and Wenbin Dai and Zhengjun Cheng",
  journal =      "International Journal of Digital Content Technology
                 and its Applications",
  year =         "2010",
  number =       "3",
  volume =       "4",
  pages =        "35--42",
  month =        jun,
  bibdate =      "2011-02-01",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/jdcta/jdcta4.html#ZhangDC10",
  URL =          "http://www.aicit.org/jdcta/ppl/Binder9_Part3.pdf",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, quantitative structure-property
                 relationship, mineral crystal lattice energy",
  size =         "8 pages",
  abstract =     "In this study, gene expression programming (GEP), a
                 novel genetic algorithm, is used to develop
                 quantitative model as potential screening mechanism for
                 mineral crystal lattice energy for the first time.
                 Eight descriptors, including ionic radius, charges,
                 effective nuclear charges and principal quantum number,
                 are selected to establish this model. A nonlinear
                 quantitative structure-property relationship (QSPR)
                 model based on GEP has been built and its predicted
                 coefficient (R2) is 0.9912. This study has provided a
                 new and effective method for the research of mineral
                 crystal lattice energy.",
}

Genetic Programming entries for Yuntao Zhang Wenbin Dai Zhengjun Cheng

Citations