A Novel Method for Building Regression Tree Models for QSAR Based on Artificial Ant Colony Systems
暂无分享,去创建一个
[1] Ross D. King,et al. COMPARISON OF ARTIFICIAL INTELLIGENCE METHODS FOR MODELING PHARMACEUTICAL QSARS , 1995 .
[2] Jonathan D. Hirst,et al. Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines , 1994, J. Comput. Aided Mol. Des..
[3] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[4] D. Maddalena,et al. Prediction of receptor properties and binding affinity of ligands to benzodiazepine/GABAA receptors using artificial neural networks. , 1995, Journal of medicinal chemistry.
[5] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[6] D. Livingstone,et al. Structure-activity relationships of antifilarial antimycin analogues: a multivariate pattern recognition study. , 1990, Journal of medicinal chemistry.