Research Article
Modeling of Moisture Content of Subgrade Materials in High-Speed Railway Using a Deep Learning Method
Table 1
Performance evaluation index of the model.
| Section | R2 | RMSE | Train set | Test set | Train set | Test set |
| K2020 + 024 H1 | 0.99 | 0.90 | 0.36 | 0.51 | K2020 + 024 H2 | 0.98 | 0.92 | 0.31 | 0.24 | K2020 + 024 H3 | 0.95 | 0.87 | 0.17 | 0.21 | K2028 + 746 H1 | 0.99 | 0.93 | 0.47 | 1.05 | K2028 + 746 H2 | 0.99 | 0.94 | 0.23 | 0.20 | K2028 + 746 H3 | 0.98 | 0.89 | 0.28 | 0.20 |
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