Interval regression analysis using support vector machine and quantile regression

被引：0
|
作者：
Hwang, CH
Hong, DH
Na, E
Park, H
Shim, J [1 ]
机构：
[1] Catholic Univ Daegu, Dept Stat, Taegu 702701, South Korea
[2] Myongji Univ, Dept Math, Yongin 449728, Kyunggido, South Korea
[3] Catholic Univ Daegu, Dept Stat Informat, Kyungbuk 712702, South Korea
[4] Dankook Univ, Div Informat & Comp Sci, Seoul 140714, South Korea
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with interval regression analysis using support vector machine and quantile regression method. The algorithm consists of two phases - the identification of the main trend of the data and the interval regression based on acquired main trend. Using the principle of support vector machine the linear interval regression can be extended to the nonlinear interval regression. Numerical studies are then presented which indicate the performance of this algorithm.
引用
收藏
页码：100 / 109
页数：10
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