@article{Si:2007:QCS,
title = {{QSAR} Model for Prediction Capacity Factor of
Molecular Imprinting Polymer Based on Gene Expression
Programming},
author = {H. Z. Si and K. J. Zhang and Z. D. Hu and B. T. Fan},
journal = {QSAR \& Combinatorial Science},
month = {January},
number = {1},
pages = {41--50},
volume = {26},
year = {2007},
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.},
size = {10 pages}, 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}, doi = {doi:10.1002/qsar.200530187},
keywords = {Expression Gene Programming, Support algorithms, genetic machine programming, vector }
}
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