Correcting Systematic Underprediction of Biochemical Oxygen Demand in Support Vector Regression

AbstractBiochemical oxygen demand (BOD) is a variable that is missing or inaccurate in many water quality data sets because of difficulties in diluting highly polluted water samples. Machine learning algorithms, particularly support vector regression (SVR), are useful to build regression models to f...

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Veröffentlicht in:Journal of environmental engineering (New York, N.Y.) N.Y.), 2017-09, Vol.143 (9)
Hauptverfasser: Seow, Marvin X. C, Ziegler, Alan D
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Sprache:eng
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