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In this work counter-propagation artificial neural networks (CPANN) were used as a tool for development of interpretable quantitative structure–property relationship (QSPR) models for prediction of pK BH+ values of a series of amides. The methodology used here is based on our recently developed algorithm for automatic adjustment of the relative importance of the input variables for training...
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