An Support Vector Regression Based Linear Programming
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.
Support Vector Regression Linear Programming measurement of ω mold
Yu Jun Mao Beixing Meng Jintao
Zhengzhou Institute of Aeronautical Industry Management Zhengzhou, 450015, China
国际会议
2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)
上海
英文
533-535
2010-12-25(万方平台首次上网日期,不代表论文的发表时间)