Advances, Systems and Applications
Table 1 The comprison of accuracy rate for two models
From: Dual-channel convolutional neural network for power edge image recognition
Model | Data | Insulator | Transformer | Breaker | Bus | Tower |
|---|---|---|---|---|---|---|
Single CNN | Training | 94% | 90% | 91% | 92% | 74% |
| Â | Validation | 94% | 91% | 90% | 93% | 73% |
| Â | Testing | 94% | 89% | 89% | 92% | 72% |
Dual CNN | Training | 97% | 93% | 94% | 96% | 82% |
| Â | Validation | 97% | 93% | 95% | 96% | 81% |
| Â | Testing | 97% | 92% | 93% | 96% | 80% |