Robust ε-Support Vector Regression
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-20
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Spheroid disturbance of input data brings great challenges to support vector regression; thus it is essential to study the robust regression model.
This paper is dedicated to establish a robust regression model which makes the regression function robust against disturbance of data and system parameter.
Firstly, two theorems have been given to show that the robust linear ε-support vector regression problem could be settled by solving the dual problems.
Secondly, it has been focused on the development of robust support vector regression algorithm which is extended from linear domain to nonlinear domain.
Finally, the numerical experiments result demonstrates the effectiveness of the models and algorithms proposed in this paper.
American Psychological Association (APA)
Lv, Yuan& Gan, Zhong. 2014. Robust ε-Support Vector Regression. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-466935
Modern Language Association (MLA)
Lv, Yuan& Gan, Zhong. Robust ε-Support Vector Regression. Mathematical Problems in Engineering No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-466935
American Medical Association (AMA)
Lv, Yuan& Gan, Zhong. Robust ε-Support Vector Regression. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-466935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466935