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.
Users
Please
log in to take part in the discussion (add own reviews or comments).