Research Article
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 |
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