Research Article
Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin
Table 5
Optimization parameters and predicting results of SVM models based on three parameter optimization algorithms.
| | Parameter optimized methods | Best C | Best γ | CV accuracy | Recognition rate | | Training set | Validation set |
| | GS-SVM | 0.3299 | 5.2780 | 100% | 100% (75/75) | 100% (39/39) | | GA-SVM | 1.1135 | 11.4377 | 100% | 100% (75/75) | 100% (39/39) | | PSO-SVM | 0.5283 | 15.7922 | 100% | 100% (75/75) | 100% (39/39) |
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