Table 6.

Comparison of prediction capability of response surface methodology (RSM) and artificial neural network (ANN)

Statistical parameters	Design dataa		Validation datab
	RSM	ANN	RSM	ANN
R 2	0.9898	0.9999	0.9912	0.9999
RMSE	48.93	2	39.7	1.76
SEP (%)	1.34	0.06	1.17	0.05
AAD (%)	1.13	0.01	1	0.04

^aExperimental data set in Table 2 used for training

^bUnseen data set in Table 5 used for validation alone and not for modeling