Research Article
An Explainable Probabilistic Model for Health Monitoring of Concrete Dam via Optimized Sparse Bayesian Learning and Sensitivity Analysis
Table 3
Error metrics of point prediction results obtained from different models.
| Model | CB2 | CB3 | Seepage | r | NRMSE | MAE | r | NRMSE | MAE | r | NRMSE | MAE |
| OSBL | 0.968 | 0.069 | 1.602 | 0.973 | 0.066 | 0.341 | 0.574 | 0.178 | 3.303 | KELM | 0.925 | 0.095 | 2.145 | 0.946 | 0.086 | 0.389 | 0.463 | 0.193 | 3.424 | RBFNN | 0.954 | 0.098 | 2.311 | 0.973 | 0.075 | 0.380 | 0.569 | 0.179 | 3.390 | GPR | 0.944 | 0.083 | 1.920 | 0.945 | 0.087 | 0.440 | 0.432 | 0.202 | 3.445 |
|
|
Note: the best values are marked in boldface.
|