Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model - Fu, Xiaohua; Zheng, Qingxing; Jiang, Guomin; Roy, Kallol; Huang, Lei; Liu, Chang; Li, Kun; Chen, Honglei; Song, Xinyu; Chen, Jianyu; Wang, Zhenxing (Frontiers of environmental science & engineering, 2023)
Keywords: Algorithms; Artificial Intelligence/Machine Learning on Environmental Science & Engineering; Artificial neural network; Artificial neural networks; Back propagation networks; Beneficiation; Business metrics; Chemical oxygen demand; Copper; Discharge; Earth and Environmental Science; Environment; Environmental risk; Flow rates; Mining-beneficiation wastewater treatment; Molybdenum; Neural networks; Particle swarm optimization; Performance measurement; prediction; Predictions; Radial basis function; regression analysis; Research Article; risk; Root-mean-square errors; Support vector machines; Support vector regression; Transfer learning; wastewater; Wastewater treatment; Water quality; Water treatment; Support vector regression; Artificial neural network; Chemical oxygen demand; Particle swarm optimization; Mining-beneficiation wastewater treatment