Forecasting water quality parameters using Random Forest and Gradient Boosting Machine regression models
Mathematical modelling of the activated sludge process (ASP) enhances understanding of the process and improves effluent quality. However, as the process is complex and nonlinear, mathematical modelling has been challenging. In this study, Random Forest Regression (RFR) and Gradient Boosting Machine regression (GBM) ar...