Table 3.
Classification performance compared with an SCNN (without autoencoder) and the data augmentation effect.
Method | Mean Accuracy (%) | STD | Best Accuracy (%) |
---|---|---|---|
TCNN (201 layers) | 94.00 | 0.449 | 94.63 |
TCNN (without data augmentation) (201 layers) |
88.51 | 0.337 | 89.04 |
SCNN (201 layers) | 91.50 | 0.458 | 92.04 |
SCNN (264 layers) | 91.13 | 0.443 | 91.74 |