Table 2 ASD-SWNet configurations.
Parameter name | Parameters |
|---|---|
Cross-validation fold | 10 |
RFE | 2000 |
K-nearest neighbor | 5 |
Augmentation factor | 2 |
DAE optimizer | Stochastic gradient descent (SGD) |
SGD momentum | 0.9 |
Learning rate | 0.0001 |
Gaussian noise | 0.1 |
Epoch | 200 |
Dropout rate | 0.3 |
Early stopping | 20 |
CNN optimizer | Adaptive optimizer (Adam) |
