Table 2.
Parameters of DNN.
| Parameter | DNN for Case Study 1 | DNN for Case Study 2 |
|---|---|---|
| Learning rate | 0.1 | 0.05 |
| Mini-batch | 100 | 50 |
| Momentum | 0.9 | 0.9 |
| Number of epoch | 100 | 100 |
| Coefficient of sparsity penalty | 0.05 | 0.05 |
| Noise level | 0.5 | 0.1 |
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