Research Article
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 |
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