Research Article
Prediction of Geological Parameters during Tunneling by Time Series Analysis on In Situ Data
Table 3
Prediction results of different geological parameters by LSTM and ANN under different evaluation indices. The best result is highlighted in bold.
| | Geologic parameter | Evaluation index | ANN | LSTM |
| | Elastic modulus | R2 | 0.5688 | 0.9883 | | MAPE | 0.0317 | 0.0050 | | MAE | 0.1862 | 0.0299 |
| | Bulk density | R2 | 0.5945 | 0.9859 | | MAPE | 0.0131 | 0.0018 | | MAE | 0.0246 | 0.0034 |
| | Cohesion | R2 | 0.7357 | 0.9914 | | MAPE | 0.0256 | 0.0053 | | MAE | 0.6670 | 0.1433 |
| | Static earth pressure coefficient | R2 | 0.3051 | 0.9848 | | MAPE | 0.0273 | 0.0035 | | MAE | 0.0111 | 0.0014 |
| | Internal friction angle | R2 | 0.6780 | 0.9906 | | MAPE | 0.0399 | 0.0066 | | MAE | 0.6722 | 0.1141 |
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