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3 各因素标准化数据
Table 3 Standardized data for each factor
样本C1/(t·m-3C2/mmC3C4C5/mmC6C7/mmC8C9C10C11C12/%等级
11.571.48-1.82-0.47-1.57-1.600.90-0.49-1.05-0.93-1.302.41
2-0.44-0.731.00-1.04-0.35-0.551.540.37-0.090.03-1.88-0.42
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73-0.25-0.85-0.21-0.07-0.35-0.060.80-0.70-0.14-0.050.01-0.14
74-0.251.48-1.37-1.52-0.75-1.601.28-0.52-0.39-1.98-1.30-0.21
75-1.11-0.73-0.66-0.230.060.320.731.222.32-0.13-0.64-0.70
760.231.071.300.991.281.24-1.09-0.900.86-0.291.51-0.08
771.09-0.61-0.01-0.550.47-0.55-0.391.590.410.110.21-0.47
781.09-0.811.05-0.710.88-0.06-0.251.34-0.600.27-0.32-0.62
79-0.92-0.85-0.210.831.280.94-1.01-0.65-0.751.801.050.78
80-1.200.09-0.31-0.39-0.35-0.12-0.87-0.770.110.510.21-0.48