改进的近似支持向量机在葡萄酒质量鉴定中的应用  

PSVM-2 Method and Its Application on Identification of Wine Quality

作　　者：徐海涛[1] 

机构地区：[1]聊城大学,山东聊城252059

出　　处：《安徽农业科学》2010年第29期16105-16106,共2页Journal of Anhui Agricultural Sciences

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.

关 键 词：支持向量机 PSVM 葡萄酒 质量鉴定 

分 类 号：TS201[轻工技术与工程—食品科学]