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

Table 5

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

Performance		RMSE	SSE	MAPE	MPE
Purity of the E port	Gradient	0.0643	0.8281	0.0258	0.8410
	Kalman	0.0485	0.4699	0.0258	0.5163
	Kaczmarz	0.0517	0.5344	0.0196	0.6431
	PseudoInv	0.0440	0.3874	0.0253	0.4297
Purity of the R port	Gradient	0.1245	3.0982	0.5547	0.4398
	Kalman	0.087	1.5336	0.5557	0.4262
	Kaczmarz	0.1131	2.5603	0.6397	0.5862
	PseudoInv	0.0837	1.4009	0.5558	0.4129