计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 210-213.

• 人工智能 • 上一篇    下一篇

粗糙集学习机器泛化性能控制的结构风险最小化方法

刘金福,于达仁   

  1. (哈尔滨工业大学能源学院 哈尔滨150001)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(No. 60703013),中国博士后科学基金(20080440886)资助。

Structural Risk Minimization for Controlling Generalization Performance of Rough Set Learning Machine

LIU Jin-fu,YU Da-ren   

  • Online:2018-11-16 Published:2018-11-16

摘要: 对影响粗糙集学习机器泛化性能的因素进行了分析,通过将结构风险最小化原则引入到粗糙集学习中,提出了粗糙集学习的结构风险最小化方法;通过12个UCI数据集上的实验分析,验证了提出方法的有效性。

关键词: 粗糙集,泛化性能,结构风险最小化

Abstract: The factors influencing the generalization performance of rough set learning machine were analyzed. Through introducing the principle of structural risk minimization into rough set learning process, structural risk minimization on rough set learning was proposed. Experiments on 12 UCI data sets show that the proposed method is effective for improving the generalization performance of rough set learning machine.

Key words: Rough sets, Generalization performance, Structural risk minimization

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