QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming

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@Article{Si:2007:QCS,
  author =       "H. Z. Si and K. J. Zhang and Z. D. Hu and B. T. Fan",
  title =        "QSAR Model for Prediction Capacity Factor of Molecular
                 Imprinting Polymer Based on Gene Expression
                 Programming",
  journal =      "QSAR \& Combinatorial Science",
  year =         "2007",
  volume =       "26",
  number =       "1",
  pages =        "41--50",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Support vector machine",
  DOI =          "doi:10.1002/qsar.200530187",
  size =         "10 pages",
  abstract =     "The Gene Expression Programming (GEP), as a novel type
                 of learning machine, for the first time, has been in
                 this study used to develop a quantitative
                 structure-activity relationship model of 39 compounds
                 of molecular imprinting polymer based on calculated
                 chemical parameters. The comparison with heuristic
                 method and support vector machines approaches reveals a
                 good prediction of GEP.",
  notes =        "1 Department of Chemistry, Lanzhou University, Lanzhou
                 730000, P. R. China

                 2 Center for Disease Control of Gansu Province, Lanzhou
                 730020, P. R. China

                 3 School of Mechanical and Electrical Engineering,
                 JUST, Ganzhou 341000, P. R. China

                 4 University Paris 7-Denis Diderot, ITODYS 1, rue Guy
                 de la Brosse, Paris 75005, France",
}

Genetic Programming entries for Hong Zong Si Ke Jun Zhang Zhi De Hu Bo Tao Fan

Citations