To quantify model performance, mean square error (MSE) and mean absolute percent error (MAPE) are calculated. Given a sample set of size n with real values y i and predictions y i , MAE and MAPE can be calculated as: In order to better quantitatively assess the correlation between the  and the  , T and  , we have examined the  of six sets of PNCs with different vale of  over a wide range of  and T . About 200 sets of data were collected, as shown in the Figure (A) (B) and (C). In the two-dimensional distribution maps of (  , T ; ), (  ,  ; ), and ( T ,  ; ), the value of  was expressed in different colors.