A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
Keywords: EMD; empirical mode decomposition; EEMD; ensemble empirical mode decomposition; IMFs; intrinsic mode functions; MLR; multiple linear regression; PCR; principal components regression; ARIMA; autoregressive integrated moving average; ANN; artificial neural