Research Article
Safety Monitoring of a Super-High Dam Using Optimal Kernel Partial Least Squares
Table 2
Mean square error of the MLR, PLS, KPLS, and OKPLS models.
| Monitoring point | | | | | | | Average |
| MLR | Fitting | 0.008 | 0.109 | 0.533 | 0.686 | 0.794 | 1.547 | 0.613 | Forecast | 0.293 | 2.558 | 1.886 | 2.535 | 2.908 | 7.320 | 2.917 |
| PLS | Fitting | 0.020 | 0.212 | 0.992 | 0.926 | 1.063 | 2.264 | 0.913 | Forecast | 0.051 | 0.631 | 0.363 | 1.050 | 0.922 | 5.563 | 1.430 |
| KPLS | Fitting | 0.003 | 0.053 | 0.162 | 0.318 | 0.361 | 0.564 | 0.244 | Forecast | 0.075 | 1.225 | 1.514 | 0.759 | 1.032 | 1.465 | 1.011 |
| OKPLS | Fitting | 0.002 | 0.014 | 0.077 | 0.064 | 0.086 | 0.202 | 0.074 | Forecast | 0.020 | 0.010 | 0.212 | 0.261 | 0.009 | 0.027 | 0.090 |
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