Fixed and Adjustable hyperparameters of trained DANNs
| Fixed hyperparameter | Choices |
|---|---|
| Input scaler [−] | Min-Max |
| Output scaler [−] | Min-Max |
| Optimization algorithm [−] | Adam |
| Activation function of the hidden layers [−] | Rectified Linear Unit |
| Activation function of the output layer [−] | Linear |
| Loss function [−] | MSLE |
| Dropout [%] | 25% |
| Maximum number of epochs [epoch] | 1,500 |
| Patience for early stopping [epoch] | 100 |
| Batch size [−] | 32 |
| Fixed hyperparameter | Choices |
|---|---|
| Input scaler [−] | Min-Max |
| Output scaler [−] | Min-Max |
| Optimization algorithm [−] | Adam |
| Activation function of the hidden layers [−] | Rectified Linear Unit |
| Activation function of the output layer [−] | Linear |
| Loss function [−] | MSLE |
| Dropout [%] | 25% |
| Maximum number of epochs [epoch] | 1,500 |
| Patience for early stopping [epoch] | 100 |
| Batch size [−] | 32 |
| Adjustable hyperparameter | Minimum value | Maximum value |
|---|---|---|
| Number of hidden layers [−] | 1 | 3 |
| Number of nodes per layer [−] | 8 | 100 |
| Adjustable hyperparameter | Minimum value | Maximum value |
|---|---|---|
| Number of hidden layers [−] | 1 | 3 |
| Number of nodes per layer [−] | 8 | 100 |
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