Table 9. Mean Square Error of Different Methods.

algorithms	MSE of train sample	MSE of test sample
MMFO-PNN	0.0085	0.1636
Sa-PNN	0.0191	0.1818
GWO-hybrid KELM	0.0213	0.1818
MBA-BP	0.0043	0.2000
MCS-BP	0.0085	0.2545
GA-SVM	0.0447	0.3091
PSO-PNN	0.0170	0.3273
BA-PNN	0.0085	0.3455
GA-PNN	0.0021	0.4000
SaE-ELM	0.0468	0.4000
PNN	0.0255	0.5455
IEC	0.4787	0.6545