中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (1): 68-72.doi:

• Intelligence • 上一篇    下一篇

Smooth support vector machine based on circular tangent function

张捷,范旭慧,班登科   

  1. 西北工业大学
  • 收稿日期:2015-06-30 修回日期:2016-01-14 出版日期:2016-02-26 发布日期:2016-02-28
  • 通讯作者: 范旭慧 E-mail:f769397603@163.com

Smooth support vector machine based on circular tangent function

  • Received:2015-06-30 Revised:2016-01-14 Online:2016-02-26 Published:2016-02-28
  • Contact: Xu-Hui FAN E-mail:f769397603@163.com

关键词:

pattern recognition

Abstract:

In order to solve the non-smooth feature of support vector machine model and improve its classification performance further, a novel smooth function based on the geometry of circle tangent is constructed to smooth the non-differentiable term of support vector machine(SVM), and it proposes a circle tangent smooth support vector machine (CTSSVM). Theoretical analysis proves the global convergence of CTSSVM. Comparing to other smooth approaching functions, its smooth precision has an obvious improvement. Numerical experiments and comparisons demonstrate the efficiency of our scheme is better than other smooth models in terms of classification performance.

Key words:

pattern recognition

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