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基于SVM的CFRW导电性建模预测研究
SVM-based Study of CFRW Conductivity Modeling Prediction
【摘要】 针对碳纤维增强木质复合材料(CFRW)导电性具有非线性的特点,采用基于支持向量回归机(SVM)的机器学习方法建立碳纤维增强木质复合材料导电性预测模型。结果表明,所建模型的预测精度高、泛化能力强。
【Abstract】 In view of the non-linear feature of carbon fiber reinforced wood-based composites,a support vector regression-based machine learning approach is adopted to set up a conductivity prediction model of carbon fiber reinforced wood-based composites and the prediction results show that the established model features high prediction accuracy and strong generalization ability.
【关键词】 碳纤维;
增强木质复合材料;
支持向量回归机;
导电性;
建模预测;
【Key words】 carbon fiber; reinforced wood-based composite(CFRW); support vector regression; conductivity; modeling prediction;
【Key words】 carbon fiber; reinforced wood-based composite(CFRW); support vector regression; conductivity; modeling prediction;
- 【文献出处】 林业机械与木工设备 ,Forestry Machinery & Woodworking Equipment , 编辑部邮箱 ,2011年09期
- 【分类号】O242.1;TM242
- 【下载频次】30