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3 原始数据标准化处理结果
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Table 3 Results for the standardized processing of raw data
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序号 | /MPa | /MPa | /MPa | SCF | B1 | B2 | |
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1 | 0.5917 | 1.3704 | 0.9878 | -0.0869 | -0.3864 | 0.1446 | 0.9237 | 2 | 0.5917 | 2.5425 | 0.0553 | -0.2655 | 0.6451 | 0.6570 | 0.5147 | 3 | 0.0850 | 1.2532 | 0.5335 | -0.3101 | -0.2116 | 0.2470 | 0.9237 | 4 | -0.0482 | 1.5111 | 0.0314 | -0.3994 | 0.2505 | 0.5545 | 0.9959 | 5 | -0.5179 | -0.5353 | -0.8294 | -0.3697 | 0.2407 | 0.5545 | 0.3463 | 6 | -0.1711 | 1.6049 | 0.2705 | -0.4738 | 0.0805 | 0.4520 | -0.0387 | | | | | | | | | 243 | 1.2708 | 1.8322 | 0.4259 | 0.1215 | 0.0461 | 0.4520 | 0.0648 | 244 | -0.0006 | 0.3243 | 0.1366 | 0.1215 | 0.0461 | -4.1597 | -0.5536 | 245 | -0.0006 | -0.3604 | -0.8126 | -0.1911 | -0.3050 | -6.8242 | -0.6330 | 246 | -0.0006 | -0.9577 | -0.7122 | 0.0173 | 0.3488 | -6.9267 | -0.5512 |
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