An Support Vector Regression Based Linear Programming

摘要：

In this paper, a support vector machine regression based linear programming is presented. Classic support vector regression algorithm is a method that it translates regression problems to classification problems. But the two algorithms also have a disadvantage. Their objective functions also depend on the measurement of 0) mold. Our algorithm dose not the disadvantage. Experimental on simulation data show that our algorithm is somewhat better.

关键词： Support Vector Regression Linear Programming measurement of ω mold

作者: Yu Jun Mao Beixing Meng Jintao

作者单位: Zhengzhou Institute of Aeronautical Industry Management Zhengzhou, 450015, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 533-535

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）