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Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models
Research article (Environmental Science Water Research & Technology, 2023) · cited 12× · AI/ML
Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models
Summary
Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models is a scholarly article[1].
Key Facts
Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models. Retrieved May 24, 2026, from https://4ort.xyz/entity/successful-prediction-for-coagulant-dosage-and-effluent-turbidity-of-a-coagulation-process-in-a-drinking-water-treatment
MLA“Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/successful-prediction-for-coagulant-dosage-and-effluent-turbidity-of-a-coagulation-process-in-a-drinking-water-treatment.
BibTeX@misc{4ortxyz_successful-prediction-for-coagulant-dosage-and-effluent-turbidity-of-a-coagulation-process-in-a-drinking-water-treatment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models}}, year = {2026}, url = {https://4ort.xyz/entity/successful-prediction-for-coagulant-dosage-and-effluent-turbidity-of-a-coagulation-process-in-a-drinking-water-treatment}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models — https://4ort.xyz/entity/successful-prediction-for-coagulant-dosage-and-effluent-turbidity-of-a-coagulation-process-in-a-drinking-water-treatment (retrieved 2026-05-24)
