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
出版年份 2021 全文链接
标题
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
作者
关键词
RSM, ANN, BRT, Sulfamethoxazole, Photolysis, Wastewater
出版物
CHEMOSPHERE
Volume -, Issue -, Pages 130151
出版商
Elsevier BV
发表日期
2021-03-07
DOI
10.1016/j.chemosphere.2021.130151
参考文献
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