Research Article
An Adaptive Genetic Algorithm Optimizes Double-Hidden Layer BPNN for Rapid Detection of Moisture Content of Green Tea in Processing
Table 7
Results of the AGA-BPNN model optimized by combining PCA and CARS.
| Model | Calibration model | Predictive model | | RMSECV (%) | | RMSEP (%) |
| AGA-1d-BPNN | 0.982 | 1.58 | 0.981 | 1.71 | AGA-2d-BPNN | 0.992 | 1.06 | 0.986 | 1.51 | PCA-AGA-1d-BPNN | 0.993 | 0.95 | 0.990 | 1.23 | PCA-AGA-2d-BPNN | 0.995 | 0.81 | 0.994 | 1.01 | CARS-AGA-1d-BPNN | 0.977 | 1.75 | 0.974 | 2.02 | CARS-AGA-2d-BPNN | 0.989 | 1.25 | 0.984 | 1.56 |
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