基于改进XGBoost算法的深部巷道松动圈智能预测研究
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凡兴禹,王雪林
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Research on Intelligent Prediction of EDZ Around Deep Tunnels Based on Improved XGBoost Algorithm
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Xingyu FAN,Xuelin WANG
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表6 松动圈预测值与实测值比较
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Table 6 Comparison of EDZ predicted value and mesured value
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| 测试点 | 输入参数 | 输出参数 | 误差/% |
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| GSI | UCS/MPa | σv/MPa | λ | TD/m | PF/（kg·m-3） | B/m | HS/m | 实测值/cm | 预测值/cm |
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| Test-1 | 71 | 137.4 | 12.4 | 1.35 | 3.1 | 1.56 | 0.65 | 0.55 | 15.32 | 13.87 | 9.5 | | Test-2 | 72 | 145.8 | 12.4 | 1.35 | 3.1 | 1.50 | 0.65 | 0.55 | 13.43 | 14.52 | 8.1 | | Test-3 | 52 | 101.5 | 12.4 | 1.35 | 3.1 | 1.32 | 0.80 | 0.67 | 22.56 | 23.83 | 5.6 | | Test-4 | 51 | 94.8 | 12.4 | 1.35 | 3.1 | 1.35 | 0.80 | 0.67 | 23.75 | 22.26 | 6.3 | | Test-5 | 36 | 87.9 | 12.4 | 1.35 | 3.1 | 1.18 | 1.00 | 0.85 | 35.12 | 38.01 | 8.2 | | Test-6 | 40 | 90.1 | 12.4 | 1.35 | 3.1 | 1.20 | 1.00 | 0.85 | 32.54 | 34.64 | 6.5 |
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