Table 6.
The influence of main hyperparameter settings on model recognition accuracy.
| Hyperparameter | Variation Range | Recognition Accuracy (%) | ||
|---|---|---|---|---|
| Epoch = 2 | Epoch = 5 | Epoch = 10 | ||
| learning rate | [5 × 10−5, 5 × 10−3] | 98.93 | 99.23 | 99.86 |
| [1 × 10−4, 1 × 10−2] | 98.56 | 98.99 | 99.23 | |
| [5 × 10−4, 5 × 10−2] | 85.5 | 95.13 | 98.87 | |
| [1 × 10−3, 1 × 10−1] | 38.37 | 68.22 | 86.57 | |
| batch size | BZ = 4 | 67.5 | 92.33 | 96.12 |
| BZ = 10 | 81.5 | 96.37 | 98.22 | |
| BZ = 15 | 96.5 | 97.86 | 99.51 | |
| BZ = 20 | 97.5 | 99.21 | 99.72 | |
| kernel number | (16, 32, 64) | 100 | 100 | 100 |
| (32, 64, 128) | 99.92 | 99.86 | 100 | |
| (64, 128, 256) | 99.88 | 98.67 | 100 | |
| (128, 256, 512) | 98.65 | 99.12 | 100 | |