%0 Journal Article %1 Si:2007:QCS %A Si, H. Z. %A Zhang, K. J. %A Hu, Z. D. %A Fan, B. T. %D 2007 %J QSAR & Combinatorial Science %K Expression Gene Programming, Support algorithms, genetic machine programming, vector %N 1 %P 41--50 %R doi:10.1002/qsar.200530187 %T QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming %V 26 %X 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.

@article{Si:2007:QCS, 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.}, added-at = {2008-06-19T17:46:40.000+0200}, author = {Si, H. Z. and Zhang, K. J. and Hu, Z. D. and Fan, B. T.}, biburl = {https://www.bibsonomy.org/bibtex/204036602ea4576afb14ea00621380f9b/brazovayeye}, doi = {doi:10.1002/qsar.200530187}, interhash = {537d62d9b95a8d9721839068fd7df78b}, intrahash = {04036602ea4576afb14ea00621380f9b}, journal = {QSAR \& Combinatorial Science}, keywords = {Expression Gene Programming, Support algorithms, genetic machine programming, vector}, month = {January}, 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}, number = 1, pages = {41--50}, size = {10 pages}, timestamp = {2008-06-19T17:51:40.000+0200}, title = {{QSAR} Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming}, volume = 26, year = 2007 }