粗糙-支持向量回归模型

南京大学学报(自然科学版) ›› 2013, Vol. 49 ›› Issue (5): 650–654.

粗糙-支持向量回归模型

张仕光1,2，米据生1,3**, 胡清华4

出版日期:2014-02-08 发布日期:2014-02-08
作者简介:(1. 河北师范大学数学与信息科学学院, 石家庄,050024; 2. 衡水学院数学与计算机学院,衡水,053000; 3. 河北省计算数学与应用重点实验室, 石家庄,050024; 4. 天津大学计算机科学与技术学院, 天津, 300072)
基金资助:
国家自然科学基金(61170107,61222210),河北省高等学校科学研究计划(Z2010188)

Rough -support vector regression model

Zhang Shi-Guang1,2, Mi Ju-Sheng3, Hu Qing-Hua4

Online:2014-02-08 Published:2014-02-08
About author:(1. College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, 050024, China; 2. College of Mathematics and Computer Science, Hengshui University, Hengshui, 053000, China; 3. Hebei Key Laboratory of Computational Mathematics and Applications, Shijiazhuang, 050024, China; 4. School of Computer Science and Technology, Tianjin University, Tianjin, 300072, China)

摘要/Abstract

摘要： 在-支持向量回归和粗糙-支持向量回归模型的基础上,研究了新的粗糙-支持向量回归模型. 利用固定对称边界粗糙-不敏感损失函数,得到粗糙-不敏感管,构造固定对称边界粗糙-支持向量回归模型;利用固定非对称边界粗糙-不敏感损失函数,得到粗糙--不敏感管,构造固定非对称边界粗糙-支持向量回归模型

Abstract: This paper investigates the new rough - support vector regression models on the basis of -support vector regression, rough-support vector regression models and rough set theory. Using the fixed symmetrical boundary rough -insensitive loss function, we obtain the rough boundary -insensitive tube and propose the rough - support vector regression model of a fixed symmetrical boundary. While with the fixed non symmetrical boundary rough ε-insensitive loss function, we get the rough boundary --insensitive tube and develop the rough -support vector regression model of a fixed non symmetrical boundary.

张仕光1,2，米据生1,3**, 胡清华4. 粗糙-支持向量回归模型[J]. 南京大学学报(自然科学版), 2013, 49(5): 650–654.

Zhang Shi-Guang1,2, Mi Ju-Sheng3, Hu Qing-Hua4. Rough -support vector regression model[J]. Journal of Nanjing University(Natural Sciences), 2013, 49(5): 650–654.

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