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A novel method to develop quantitative structure-property relationship (QSPR) models of organic contaminants was proposed based on genetic algorithm (GA) and support vector machine (SVM). GAwas used to perform the variable selection and SVM was used to construct QSPR models. In this study, GA-SVM was applied to develop the QSPR model for aqueous solubility (Sw, mol·L−1) of polycyclic aromatic hydrocarbons...
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