基于核主成分分析与SVM的岩爆烈度组合预测模型
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许瑞,侯奎奎,王玺,刘兴全,李夕兵
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Combined Prediction Model of Rockburst Intensity Based on Kernel Principal Component Analysis and SVM
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Rui XU,Kuikui HOU,Xi WANG,Xingquan LIU,Xibing LI
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表1 部分岩爆样本原始数据
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Table 1 Partial raw data of rockburst samples
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序号 | /MPa | /MPa | /MPa | SCF | B1 | B2 | | 岩爆烈度 |
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1 | 90.00 | 170.00 | 11.30 | 0.53 | 15.04 | 0.88 | 9.00 | M | 2 | 90.00 | 220.00 | 7.40 | 0.41 | 29.73 | 0.93 | 7.30 | L | 3 | 62.60 | 165.00 | 9.40 | 0.38 | 17.53 | 0.89 | 9.00 | L | 4 | 55.40 | 176.00 | 7.30 | 0.32 | 24.11 | 0.92 | 9.30 | M | 5 | 30.00 | 88.70 | 3.70 | 0.34 | 23.97 | 0.92 | 6.60 | M | 6 | 48.75 | 180.00 | 8.30 | 0.27 | 21.69 | 0.91 | 5.00 | M | | | | | | | | | | 243 | 126.72 | 189.70 | 8.95 | 0.67 | 21.20 | 0.91 | 5.43 | L | 244 | 57.97 | 125.37 | 7.74 | 0.67 | 21.20 | 0.46 | 2.86 | L | 245 | 57.97 | 96.16 | 3.77 | 0.46 | 16.20 | 0.20 | 2.53 | L | 246 | 57.97 | 70.68 | 4.19 | 0.60 | 25.51 | 0.19 | 2.87 | L |
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