Research Article
Data-Driven Model for Rockburst Prediction
Table 2
The test samples and the predicted results using neural network.
| No. | Maximum shear stress of tunnel wall σθ (MPa) | Uniaxial compression strength σc (MPa) | Uniaxial tensile strength σt (MPa) | Linear stress energy | Rockburst rank | Real | Predicted |
| 1 | 34 | 150 | 5.4 | 7.8 | 1 | 1 | 2 | 60.7 | 111.5 | 7.86 | 6.16 | 4 | 4 | 3 | 54.2 | 134 | 9.09 | 7.08 | 3 | 3 | 4 | 70.3 | 129 | 8.73 | 6.43 | 3 | 3 | 5 | 35 | 133.4 | 9.3 | 2.9 | 2 | 2 | 6 | 157.3 | 91.23 | 6.92 | 6.27 | 4 | 4 | 7 | 148.4 | 66.77 | 3.81 | 5.08 | 2 | 2 | 8 | 132.1 | 51.5 | 2.47 | 4.63 | 3 | 2 | 9 | 127.9 | 35.82 | 1.24 | 3.67 | 2 | 2 | 10 | 107.5 | 21.5 | 0.6 | 2.29 | 1 | 1 | 11 | 96.41 | 18.32 | 0.38 | 1.87 | 1 | 1 | 12 | 167.2 | 110.3 | 8.36 | 6.83 | 4 | 4 | 13 | 38.2 | 53 | 3.9 | 1.6 | 1 | 1 | 14 | 11.3 | 90 | 4.8 | 3.6 | 1 | 1 | 15 | 92 | 263 | 10.7 | 8 | 2 | 2 | 16 | 62.4 | 235 | 9.5 | 9 | 4 | 4 | 17 | 43.4 | 136.5 | 7.2 | 5.6 | 4 | 3 | 18 | 11 | 105 | 4.9 | 4.7 | 1 | 1 | 19 | 90 | 170 | 11.3 | 9 | 3 | 3 | 20 | 90 | 220 | 7.4 | 7.3 | 2 | 2 | 21 | 62.6 | 165 | 9.4 | 9 | 2 | 2 | 22 | 55.4 | 176 | 7.3 | 9.3 | 3 | 4 | 23 | 30 | 88.7 | 3.7 | 6.6 | 3 | 3 | 24 | 48.75 | 180 | 8.3 | 5 | 3 | 3 | 25 | 80 | 180 | 6.7 | 5.5 | 2 | 2 | 26 | 89 | 236 | 8.3 | 5 | 3 | 3 | 27 | 98.6 | 120 | 6.5 | 3.8 | 3 | 3 | 28 | 108.4 | 140 | 8 | 5 | 4 | 4 |
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