• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (6): 156-161.

• 论文 • 上一篇    下一篇

一类三阶多项式光滑的支持向量机

冯能山,熊金志   

  1. (东莞理工学院计算机学院,广东 东莞 523808)
  • 收稿日期:2012-02-14 修回日期:2012-06-14 出版日期:2013-06-25 发布日期:2013-06-25
  • 基金资助:

    广东省自然科学基金资助项目(9151170003000017);东莞市科技计划资助项目(2012108102027)

A class of 3rdorder polynomial smooth support vector machines

FENG Nengshan,XIONG Jinzhi   

  1. (College of Computer,Dongguan University of Technology,Dongguan 523808,China)
  • Received:2012-02-14 Revised:2012-06-14 Online:2013-06-25 Published:2013-06-25

摘要:

研究了用一类新的光滑函数对支持向量机作光滑处理的问题,提出了一种新的具有三阶多项式光滑的支持向量机模型 3SSVM,证明了该模型具有三阶光滑性和全局收敛性,并用 NewtonArmijo 算法进行了数值实验。结果表明, 3SSVM 模型的分类性能和计算速度优于 PSSVM 模型和 SSVM 模型,为光滑支持向量机的应用提供了更好的理论支持。

关键词: 分类, 支持向量机, 多项式, 光滑函数, 收敛

Abstract:

Using a class of new smoothing functions, the problem of smoothing support vector machines was studied. A new 3rdorder polynomial smooth support vector machine (3SSVM) model was proposed, and its 3rdorder smoothness and global convergence was proved. Numerical experiments were carried out to evaluate the 3SSVM by using NewtonArmijo algorithm. The results show that the 3SSVM model is better than the PSSVM model and the SSVM model, providing better theoretical support for applications of smooth support vector machines.

Key words: classification;support vector machine;polynomial;smoothing function;convergence