一种具有双控制比例因子的最优间隔超球分类器

张培林;吴定海;王怀光;王正军;王国德

振动与冲击 ›› 2012, Vol. 31 ›› Issue (1) : 97-100.

PDF(1137 KB)
PDF(1137 KB)
振动与冲击 ›› 2012, Vol. 31 ›› Issue (1) : 97-100.
论文

一种具有双控制比例因子的最优间隔超球分类器

  • 张培林;吴定海;王怀光;王正军;王国德
作者信息 +

A optimal separation hyper-sphere classification model with double proportion control parameters

  • WU Ding-hai; Zhang Pei-lin; Wang Huai-guang; Wang Zheng-jun; Wang Guo-de
Author information +
文章历史 +

摘要

针对支持向量描述只考虑目标类训练样本,结合支持向量机最优分类超平面和支持向量描述的思想,引入了异常样本信息的监督机制,建立了最优间隔超球分类器模型,以一个最小的超球包含目标类训练样本和一个尽可能大的超球体将非目标样本隔离在超球体外,使决策超球面与该两个超球面以最大间隔分离,保证了描述精度和泛化性能,同时,为更好地排除对两类样本数据分布中野点的干扰,提出了一种双控制比例因子的控制方法,更加灵活地实现软间隔分类,仿真实例验证了该分类器具有比SVDD更好的分类性能

Abstract

After analysis the disadvantage of unsupervised training of support vector data description(SVDD) and combine the advantage of optimal separation hyper-plane and SVDD, the supervision with the information of negative class and the hyper-sphere classification model with optimal Separation are proposed with one minimum hyper-sphere including positive class and one maximum hyper-sphere excluding negative class, and then the decision hyper-sphere can Separate the two hyper-spheres with max distance which improves the model’s description accuracy and generalization performance. To removal the interference of bad point, a method of double proportion control parameter is proposed which can realize soft separation. Experimental results on Banana and UCI data sets show that the proposed model has better classification performance than SVDD.

关键词

模式识别 / 统计学习 / 最优分类超球面 / 控制比例因子

Key words

pattern recognition / statistical learning / optimal separation hypersphere / proportion control parameter

引用本文

导出引用
张培林;吴定海;王怀光;王正军;王国德. 一种具有双控制比例因子的最优间隔超球分类器[J]. 振动与冲击, 2012, 31(1): 97-100
WU Ding-hai;Zhang Pei-lin;Wang Huai-guang;Wang Zheng-jun;Wang Guo-de. A optimal separation hyper-sphere classification model with double proportion control parameters[J]. Journal of Vibration and Shock, 2012, 31(1): 97-100

PDF(1137 KB)

Accesses

Citation

Detail

段落导航
相关文章

/