Concepedia

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

Dongsheng Wang, Le Chen, Taiyang Li, Xiao Chang, Kaiwei Ma, Weihong You, Chaoqun Tan

Environmental Science Water Research & Technology · 2023 · 12 citations · 36 references

DOI

Concepts

Abstract

The uncertainty of the changes in the quality of raw water, and the long lag in the process of coagulation introduce significant difficulties in eliminating turbidity during the treatment of drinking water.

References

36

Summarizing multiple aspects of model performance in a single diagram

Karl E. Taylor · Journal of Geophysical Research Atmospheres · 2001 · 8.7K citations

, , +16

Variable selection using random forests

Robin Genuer, Jean‐Michel Poggi, Christine Tuleau-Malot · Pattern Recognition Letters · 2010 · 2.6K citations

, , +13

The correlation coefficient: Its values range between +1/−1, or do they?

Bruce Ratner · Journal of Targeting Measurement and Analysis for Marketing · 2009 · 1.6K citations · Full text

, , +5

On Some Aspects of Variable Selection for Partial Least Squares Regression Models

Partha Pratim Roy, Kunal Roy · QSAR & Combinatorial Science · 2007 · 804 citations · Full text

, , +15

The role of coagulation in water treatment

Jia‐Qian Jiang · Current Opinion in Chemical Engineering · 2015 · 416 citations

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