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Parameters for the benchmark model.
| Number of hidden layers | 3 |
|---|---|
| Number of neurons (1st hidden layer) | 448 |
| Number of neurons (2nd hidden layer) | 512 |
| Number of neurons (3rd hidden layer) | 416 |
| Learning rate for Adam algorithm | 1.0 × 10−3 |
| Minimum validation loss (MSE) | 15.40 |
