摘要
在介绍标准支持向量机(SVM)的基础上,引出近似支持向量机(PSVM)方法的基本原理,并提出一个改进其分类精度的新算法(PSVM-2)。针对葡萄酒质量鉴定这一实际问题,比较了SVM与PSVM及PSVM-2的表现能力,分析了3种算法的复杂性及其分类性能。
Based on introducing standard support vector machine(SVM),the basic rationale of proximal support vector machine(PSVM)method was led out and a new algorithm(PSVM-2)was proposed to improve its classification precision.For the practical problem of quality assessment of grape wine,the performance abilities of SVM,PSVM and PSVM-2 were compared and their complexities and classification performances were analyzed.
出处
《安徽农业科学》
CAS
北大核心
2010年第29期16105-16106,共2页
Journal of Anhui Agricultural Sciences
关键词
支持向量机
PSVM
葡萄酒
质量鉴定
Support vector machine
PSVM
Grape wine
Quality assessment