基于KPCA-IPSO-LSSVM的充填管道磨损风险预测
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骆正山,黄仁惠,申国臣
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Research on Wear Risk Prediction of Filling Pipeline Based on KPCA-IPSO-LSSVM
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Zhengshan LUO,Renhui HUANG,Guochen SHEN
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表5 投影特征向量
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Table 5 Projection eigenvector
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影响因素 | F1 | F2 | F3 | F4 | F5 |
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C1 | -0.870 | 0.215 | 0.052 | 0.005 | 0.031 | C2 | -0.155 | -0.378 | 0.052 | -0.029 | -0.084 | C3 | -0.583 | 0.342 | -0.341 | -0.003 | -0.089 | C4 | -0.871 | 0.034 | 0.273 | -0.047 | 0.058 | C5 | 0.198 | -0.282 | -0.113 | -0.266 | 0.024 | C6 | 0.661 | 0.184 | 0.060 | -0.055 | -0.038 | C7 | -0.008 | -0.261 | -0.134 | 0.082 | 0.159 | C8 | 0.140 | -0.207 | -0.084 | 0.167 | 0.107 | C9 | 0.570 | 0.226 | 0.070 | 0.096 | -0.026 | C10 | 0.295 | -0.035 | 0.027 | 0.022 | -0.151 | C11 | 0.020 | -0.177 | 0.079 | 0.094 | -0.126 | C12 | 0.603 | 0.337 | 0.058 | -0.066 | 0.136 |
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