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