应用数据检索的木材检测技术统计分类及建模检测方法

Statistical Classification and Modeling Detection of Wood Detection Technology by Data Retrieval

以木材无损检测方法的统计分类作为样本,通过检索数据集进行数据挖掘,得到木材检测类文献及关键词关联关系;对采样数据进行了分类对比,实现了应用大数据的有限训练集对输入和输出间有效关联数据提取;对作为样本的检测法进行了木材无损检测法有效性分类分析,对检测法进行改进算法描述,提出了应用灰度变换的支持向量机建模进行木材无损检测纹理分形及逆向扫描建模。

With the statistical classification of wood nondestructive testing method as a sample,we studied the data set for data mining.The sampling data was classified and compared,and the valid classification of the wood non-destructive testing method was analyzed by using the finite training set of large data to extract the data between input and output.The improved algorithm was described,and the modeling of texture fractal and reverse scanning for wood nondestructive testing using support vector machine was proposed.