Fig. 4
From: The impact of CNN MHAM-enhanced WRF and BPNN models for user behavior prediction
The influence of different parameters on the prediction results of the model (the abscissa “1” in the figure is learning _ rate = 0.01; “2” is learning _ rate = 0.001; “3” is hidden _ layers = 50; “4” is hidden _ layers = 100; “5” means regularization coefficient = 0.01; “6” is regularization coefficient = 0.001).
