From: A denoising-classification neural network for power transformer protection
Data volume (%) | CNN (%) | Classifier based on CAE (%) | CNN block of DCNN (%) | |||||||
---|---|---|---|---|---|---|---|---|---|---|
Training | Validation | Test | Training | Validation | Test | Training | Validation | Test | Weights (α/β) | |
15 | 95.04 | 90.72 | 84.75 | 97.93 | 92.48 | 87.44 | 99.49 | 92.96 | 88.78 | 1.2/1.0 |
30 | 98.83 | 96.00 | 87.89 | 100 | 98.24 | 90.58 | 100 | 98.88 | 91.93 | 1.3/1.0 |
45 | 99.38 | 97.92 | 90.13 | 99.84 | 97.28 | 90.58 | 99.80 | 98.08 | 92.38 | 1.2/1.0 |
60 | 99.92 | 99.68 | 91.93 | 99.92 | 99.36 | 92.38 | 99.92 | 98.24 | 94.17 | 1.4/1.0 |
75 | 99.34 | 98.88 | 91.93 | 99.84 | 99.04 | 93.72 | 99.96 | 99.84 | 95.07 | 1.6/1.0 |
90 | 99.96 | 99.36 | 92.83 | 99.73 | 98.88 | 93.72 | 99.69 | 99.36 | 95.52 | 1.4/1.0 |
100 | 99.84 | 99.52 | 92.83 | 100 | 99.68 | 95.07 | 99.96 | 99.68 | 96.86 | 1.5/1.0 |