Table 2 Key hyperparameters.
Category | Hyperparameter | Value |
|---|---|---|
Model architecture | Number of hidden layers | 4 |
Neurons per layer | [256, 128, 64, 32] | |
Activation function | Hyperbolic tangent function | |
Dropout Rate | 0.2 | |
Regularization | L\(_{2}\) Regularization | 0.001 |
Loss function | (WQI loss) | 0.7 |
(Physics loss) | 0.3 | |
Optimizer and learning | Optimizer | Adam |
Initial Learning Rate | 0.001 | |
Training configuration | Epochs | 200 |
