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The identified model structure with the best one-day-ahead prediction performance across the training sites.
| Site | Model | FFNN | LSTM | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | M | J | Neurons | Layers | N | M | J | Blocks | Layers | |||
| Baluderry | 1 | 1 | 1 | 40 | 1 | 0.95 | 1 | 1 | 1 | 20 | 1 | 0.95 |
| Stoughton | 1 | 1 | 1 | 20 | 1 | 0.97 | 1 | 1 | 1 | 20 | 1 | 0.97 |
| Waddeston | 1 | 2 | 2 | 20 | 1 | 0.99 | 1 | 2 | 2 | 40 | 1 | 0.99 |
N is the time lag associated with the climatic inputs, M is the time lag associated with the precipitation input, and J is the time lag associated with the past soil moisture content input.
