Table 6 Comparison of MLP–HGSO–EMD with MLP–HGSO
From: Rainfall modeling using two different neural networks improved by metaheuristic algorithms
Model | MAE | NSE | PBIAS |
|---|---|---|---|
Training (Station 1) | |||
 MLP–HGSO | 0.687 | 0.95 | 0.17 |
 MLP–HGSO–EMD | 0.685 | 0.96 | 0.14 |
Testing | |||
 MLP–HGSO | 0.712 | 0.90 | 0.23 |
 MLP–HGSO–EMD | 0.710 | 0.92 | 0.18 |
Training (Station 1) | |||
 MLP–HGSO | 0.683 | 0.97 | 0.15 |
 MLP–HGSO–EMD | 0.681 | 0.98 | 0.12 |
Testing | |||
 MLP–HGSO | 0.711 | 0.92 | 0.22 |
 MLP–HGSO–EMD | 0.709 | 0.94 | 0.20 |