摘要
提出了基于支持向量机的专利文本分类器的总体设计方案和实现方法;提出并分析了该分类器的改进算法SVM-KNN组合改进算法。文章对两种算法进行了大量的实验并对实验结果进行比较分析,在此基础上得出了三个结论。
It narrates the overall design plan and implementation method of patent text classification machine resulting from support vector machine;proposes and analyzes its improvement algorithm SVM-KNN combination improvement algorithm;and a great deal of tests on classification machine are carried out to two algorithms and the testing results are compared and analyzed,draws three conclusions in this foundation.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第20期193-195,212,共4页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60003019)
关键词
支持向量机
KNN
专利分类
最优分类面
support vector machine, KNN,patent classification,optimal hyperplane
