Research Article
Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model
Table 10
Classification result index.
| | Accuracy (%) | Precision (%) | Recall (%) |
| Undersampling + ResNet | 81.25 | 80.49 | 82.50 | Oversampling + ResNet | 95.00 | 95.45 | 94.50 | GAN + ResNet | 98.25 | 98.49 | 98.00 |
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