2024
DOI: 10.1016/j.chemosphere.2024.141154
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Machine learning facilitated the conceptual design of an alum dosing system for phosphorus removal in a wastewater treatment plant

Jiasi Sun,
Yanran Xu,
Haoran Yang
et al.
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Cited by 1 publication
(2 citation statements)
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“…Though several studies report ML for phosphate recovery from different wastewater sources, most of the studies lacked experimental validation of the models as there are no general rules framed for the recovery of phosphate . The studies that reported experimental validation proved that the trained model’s effectiveness lacked generalization .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Though several studies report ML for phosphate recovery from different wastewater sources, most of the studies lacked experimental validation of the models as there are no general rules framed for the recovery of phosphate . The studies that reported experimental validation proved that the trained model’s effectiveness lacked generalization .…”
Section: Resultsmentioning
confidence: 99%
“…Though several studies report ML for phosphate recovery from different wastewater sources, most of the studies lacked experimental validation of the models as there are no general rules framed for the recovery of phosphate. 44 The studies that reported experimental validation proved that the trained model's effectiveness lacked generalization. 42 Thus, this rulebased model was better explainable than the existing ML models, as they provide generalized IF−THEN rules, making the model more appropriate for inexperienced users and realtime practitioners.…”
Section: Comparative Evaluation Of the Rsml Algorithm With The Other ...mentioning
confidence: 99%