Accurate and robust ammonia level forecasting of aeration tanks using long short-term memory ensembles: A comparative study of Adaboost and Bagging approaches

已完结 10 由 3036 发布于 2026/7/21 10:21:44

DOI:10.1016/j.jenvman.2024.123173
作者：Hanxiao Shi , Anlei Wei , Yaqi Zhu , Kangrong Tang , Hao Hu , Nan Li
文献类型：期刊论文
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Elsevier

Abstract：As wastewater treatment aeration systems are embracing innovative solutions to data management for operational sustainability, deep learning approaches like long short-term memory (LSTM) net

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