Research Article
A Deep Learning Model for Concrete Dam Deformation Prediction Based on RS-LSTM
Table 1
Attribute reduction results of the single-point and multipoint prediction models.
| Experience impact factors | Component name | Single-point model SIM | Reduction | Importance evaluation | Multipoint model SIM | Reduction | Importance evaluation |
| | Water pressure | -5 | No | 0.12 | -4 | No | 0.10 | | -2 | No | 0.08 | -2 | No | 0.07 | | -2 | No | 0.13 | -4 | No | 0.06 | () | Temperature | -5 | No | 0.42 | -7 | No | 0.33 | () | -4 | No | 0.20 | -2 | No | 0.19 | () | 0 | Yes | 0.00 | 0 | Yes | 0.00 | () | ā | 0 | Yes | 0.00 | 0 | Yes | 0.00 | | Aging | -2 | No | 0.02 | -2 | No | 0.02 | | -1 | No | 0.03 | -3 | No | 0.04 | | Fracture | -1 | Yes | 0.00 | -2 | No | 0.06 | | Seepage | -2 | Yes | 0.00 | -4 | No | 0.08 | | Uplift pressure | -3 | Yes | 0.00 | -3 | No | 0.05 |
|
|