Research Article
Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples
Table 3
Details of the Discriminator networks in this experiment.
| Layer | Dimension | Activation | Number of training parameters |
| Input | 1281 | ā | ā | Hidden_1 | 64 | ReLu | 82084 | Hidden_2 | 128 | ReLu | 8320 | Hidden_3 | 256 | ReLu | 33024 | Output | 1 | Sigmoid | 257 |
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