A hybrid model of empirical wavelet transform and extreme learning machine for dissolved oxygen forecasting

Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy

“…Therefore, scholars have focused on hybrid models and employed hybrid algorithms to improve the forecasting accuracy and reliability (Gao et al, 2022; Niu & Wang, 2019; X. Zhang et al, 2019). Huan et al (2020) proposed a hybrid nonlinear ELm forecasting model based on an empirical wavelet transform (EWT) and adaptive perturbed particle swarm optimization (ADPSO). The forecasting results were better than those of the wavelet decomposition (WD)‐ELm, empirical mode decomposition ( Emd )‐ELm and EWT‐BP models.…”

“…Zhang et al, 2019). Huan et al (2020) proposed a hybrid nonlinear ELm forecasting model based on an empirical wavelet transform (EWT) and adaptive perturbed particle swarm optimization (ADPSO). The forecasting results were better than those of the wavelet decomposition (WD)-ELm, empirical mode decomposition (Emd)-ELm and EWT-BP models.…”