Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction
Forecasting; Iron; Learning algorithms; Machine learning; Mean square error; Neural networks; Potable water; Reservoirs (water); Turbidity; Water quality; Water supply; Coefficient of determination; Iron concentrations; Output parameters; Performance criterion; Root mean square errors; Strong correl...
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Ain Shams University
2023
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| Summary: | Forecasting; Iron; Learning algorithms; Machine learning; Mean square error; Neural networks; Potable water; Reservoirs (water); Turbidity; Water quality; Water supply; Coefficient of determination; Iron concentrations; Output parameters; Performance criterion; Root mean square errors; Strong correlation; Total suspended solids; TSS concentration; Predictive analytics |
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