Table 4 Prediction model error comparison.
Measurement points | Predictive model | Training time (s) | MSE (mm2) | RMSE (mm) | MAE (mm2) | R2 | |||
|---|---|---|---|---|---|---|---|---|---|
Time series | Influencing factors | Time series | Influencing factors | Time series | Influencing factors | ||||
Y01-4 | GRNN | 11.2 | 0.6407 | 0.9275 | 0.8004 | 0.9631 | 0.6578 | 0.7750 | 0.755 |
EMD-GRNN | 13.5 | 0.3885 | 1.0272 | 0.6233 | 1.0135 | 0.5411 | 0.8716 | 0.804 | |
SSA-GRNN | 16.8 | 0.1343 | 0.1343 | 0.3664 | 0.3665 | 0.3189 | 0.3189 | 0.851 | |
EMD-SSA-GRNN | 18.1 | 0.0471 | 0.0762 | 0.2171 | 0.2759 | 0.1797 | 0.2299 | 0.975 | |
YK56 + 376 | GRNN | 9.5 | 2.6596 | 3.3801 | 1.6308 | 1.8385 | 1.5858 | 1.8265 | 0.742 |
EMD-GRNN | 11.7 | 6.4696 | 4.1522 | 2.5435 | 2.0377 | 2.5079 | 2.0243 | 0.792 | |
SSA-GRNN | 15.2 | 0.0191 | 0.0369 | 0.1383 | 0.1922 | 0.1178 | 0.1494 | 0.855 | |
EMD-SSA-GRNN | 17.4 | 0.0548 | 0.0276 | 0.2342 | 0.1662 | 0.2036 | 0.1388 | 0.984 | |