Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study.
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DOI: 10.1016/j.chemosphere.2021.130151
Abstract: This study explores the boosted regression trees (BRT), artificial neural network (ANN) and response surface methodology (RSM) to model and optimize the operational variables for the simulation of the Photolytic degradation of Sulfamethoxazole (SMX) and… read more here.
Keywords: neural network; boosted regression; methodology; artificial neural ... See more keywords