Research Article
Safe Operation Management of Urban Smart Grid Based on Deep Learning
Table 3
Fifty-fold cross-validation dataset.
| Parameters | Values | Parameters | Values |
| Optimizer | SGD | Learning rate | 0.01 | Batch size | 32 | Number of training rounds | 10 | Number of neural network layers | 5 | Input units | 86 | Hidden layer units | 128, 64, 32 | Dropout | 0.1 | Activation functions | Tanh | Pretraining optimizer | SGD |
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