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Based on the quantitative structure‐activity relationships (QSARs) models developed by artificial neural networks (ANNs), genetic algorithm (GA) was used in the variable‐selection approach with molecule descriptors and helped to improve the back‐propagation training algorithm as well. The cross validation techniques of leave‐one‐out investigated the validity of the generated ANN model and preferable...