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Integration of advanced optimization algorithms into least-square support vector machine (LSSVM) for water quality index prediction
2021
Water Science and Technology : Water Supply
Machine learning models hybridized with optimization algorithms have been applied to many real-life applications, including the prediction of water quality. However, the emergence of newly developed advanced algorithms can provide new scopes and possibilities for further enhancements. In this study, the least-square support vector machine (LSSVM) integrated with advanced optimization algorithms is presented, for the first time, in the prediction of water quality index (WQI) at the Klang River
doi:10.2166/ws.2021.303
fatcat:imjtb5iytbfm3d5ctun5yhgbxm