基于SVM的CFRW导电性建模预测研究

SVM-based Study of CFRW Conductivity Modeling Prediction

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。

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.