基于KPCA-IPSO-LSSVM的充填管道磨损风险预测
骆正山,黄仁惠,申国臣

Research on Wear Risk Prediction of Filling Pipeline Based on KPCA-IPSO-LSSVM
Zhengshan LUO,Renhui HUANG,Guochen SHEN
表5 投影特征向量
Table 5 Projection eigenvector
影响因素F1F2F3F4F5
C1-0.8700.2150.0520.0050.031
C2-0.155-0.3780.052-0.029-0.084
C3-0.5830.342-0.341-0.003-0.089
C4-0.8710.0340.273-0.0470.058
C50.198-0.282-0.113-0.2660.024
C60.6610.1840.060-0.055-0.038
C7-0.008-0.261-0.1340.0820.159
C80.140-0.207-0.0840.1670.107
C90.5700.2260.0700.096-0.026
C100.295-0.0350.0270.022-0.151
C110.020-0.1770.0790.094-0.126
C120.6030.3370.058-0.0660.136