Soft Sensing Modeling of the SMB Chromatographic Separation Process Based on the Adaptive Neural Fuzzy Inference System

Table 3

Comparison of predictive performance indicators of the ANFIS soft sensor model based on the meshing partition method.

Performance		RMSE	SSE	MAPE	MPE
Purity of the E port	Gradient			0.0081	0.0026
	Kalman	0.0112	0.0252	0.0087	0.1010
	Kaczmarz	0.0612	0.7484	0.0337	0.6750
	PseudoInv	0.0112	0.0250	0.0087	0.1068
Purity of the R port	Gradient	0.0114	0.0421	0.5512	0.0691
	Kalman	0.0145	0.0421	0.5513	0.0900
	Kaczmarz	0.0797	1.2699	0.5932	0.3585
	PseudoInv	0.0145	0.0418	0.5516	0.0896