计算机科学 ›› 2003, Vol. 30 ›› Issue (11): 38-39.

• 软件工程与数据库技术 • 上一篇    下一篇

加权支持向量回归算法

吴今培 侯振挺 肖健华   

  1. 五邑大学智能技术与系统研究所,广东江门529020 中南大学铁道校区科学研究所,长沙410075
  • 出版日期:2003-11-15 发布日期:2018-11-17

  • Online:2003-11-15 Published:2018-11-17

摘要: Support vector regression machines based on structural risk minimization have a good generalization performance. However, its effect is not good if there exists heterogeneity of variance in the regression models. In order to solve the problem, a kind of w

关键词: 加权支持向量回归算法 人工智能 优化形式 模式识别

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