Investigating the reliability of machine learning algorithms as a sustainable tool for total suspended solid prediction

• 主要な著者: Sami B.H.Z., Jee khai W., Sami B.F.Z., Ming Fai C., Essam Y., Ahmed A.N., El-Shafie A.
• その他の著者: 57222091702
• フォーマット: 論文
• 出版事項: Ain Shams University 2023

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...