基于网格搜索优化的CFRW导电性能模型研究

The Research of CFRW Conductive Performance Model Based on Grid Search Optimization

碳纤维增强木质复合材料(CFRW,carbon fiber reinforced wood)以其良好的电学性能在实际生产中得到广泛的应用。采用支持向量机建立CFRW导电性能模型,利用网格搜索寻优方法对支持向量机(SVM)模型的参数进行优化,在设定不同精度下分别获得模型的最优参数。

Carbon fiber reinforced wood composite material is widely used in the practical production because of its good electrical properties. Using support vector machine to establish the CFRW conductive performance model and grid search optimization method to optimize the parameters of support vector machine （SVM） model, can obtain the optimal parameters of the model respectively in different degree of precision.