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

Table 4

Comparison of predictive performance indicators of the ANFIS soft sensor model based on the subtractive clustering method.

Performance		RMSE	SSE	MAPE	MPE
Purity of the E port	Gradient	0.0032	0.0021	0.0103	0.0204
	Kalman	0.0068	0.0092	0.0091	0.0434
	Kaczmarz	0.0042	0.0035	0.0093	0.0189
	PseudoInv	0.0032	0.0020	0.0097	0.0203
Purity of the R port	Gradient	0.0280	0.1567	0.5517	0.1315
	Kalman	0.0286	0.1633	0.5514	0.5514
	Kaczmarz	0.0386	0.2981	0.5809	0.1624
	PseudoInv	0.0280	0.1566	0.5515	0.1313