Research Article
Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network
Table 2
Actual rating and indicator data of tunnel to be predicted.
| Sample number | Rock type | Buried depth/m | | | | Actual grade |
| Q-1 | Limestone | 498 | 0.325 | 9.23 | 1.968 | II | Q-2 | Limestone | 403 | 0.468 | 9.68 | 3.865 | III | Q-3 | Basalt | 695 | 0.523 | 14.36 | 4.325 | III | Q-4 | Limestone | 640 | 0.576 | 11.85 | 2.325 | II | Q-5 | Limestone | 640 | 0.765 | 16.85 | 3.236 | III |
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