Table 1 Comparative analysis of evaluation indicators.
From: A novel combined intelligent algorithm prediction model for the tunnel surface settlement
Component | Model | MSE | RMSE | MAPE |
|---|---|---|---|---|
IMF1 | ELM | 0.1282 | 0.3580 | 4.7890 |
SSA-ELM | 0.0666 | 0.2581 | 1.4449 | |
CASSA-ELM | 0.0345 | 0.1858 | 0.2420 | |
IMF2 | ELM | 0.0174 | 0.1321 | 2.8775 |
SSA-ELM | 0.0069 | 0.0829 | 0.7263 | |
CASSA-ELM | 0.0001 | 0.0104 | 0.1378 | |
IMF3 | ELM | 0.0302 | 0.1737 | 1.0910 |
SSA-ELM | 0.0118 | 0.1086 | 0.4638 | |
CASSA-ELM | 0.0023 | 0.0476 | 0.0514 | |
IMF4 | ELM | 0.0267 | 0.1635 | 0.6439 |
SSA-ELM | 0.0107 | 0.1034 | 0.2542 | |
CASSA-ELM | 0.0033 | 0.0578 | 0.0168 | |
IMF5 | ELM | 0.0552 | 0.2350 | 0.9755 |
SSA-ELM | 0.0212 | 0.1457 | 0.2692 | |
CASSA-ELM | 0.0012 | 0.0342 | 0.0507 | |
R(t) | ELM | 0.1247 | 0.3531 | 0.0524 |
SSA-ELM | 0.0265 | 0.1629 | 0.0218 | |
CASSA-ELM | 0.0028 | 0.0534 | 0.0043 |
