摘要
利用支持向量机和集群的基本思想,提出一种多类分类算法,并在纸质卷材复合过程中对边缘破损的类别进行了试验测试,具有良好效果。
This paper proposed a kind of multi-classification algorithm based on the support vector machine （SVM） and clustering, whose high performance has been proved by the experimentation of recognizing the types of coiled material edges crevasses.
出处
《工业仪表与自动化装置》
2008年第4期51-52,共2页
Industrial Instrumentation & Automation
关键词
支持向量机
集群
分类
算法
卷材
SVM
clustering
classification
algorithm
coiled material
