DocumentCode
1945480
Title
An Online Modeling Method Based on Support Vector Machine
Author
Wang, Shuwen ; San, Ye ; Wang, Shuzhou
Author_Institution
Dept. of Mech., Suzhou Univ. of Sci. & Technol., Suzhou
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
98
Lastpage
101
Abstract
Support vector machine (SVM) is a new modeling method. It has shown good performance in many field and mostly outperformed neural networks. An online modeling method based on SVM is proposed. It has a budget parameter to explicitly control the number of support vectors that used to define the predictor. The online modeling method was applied to construct intelligent model of helicopter. It is shown by simulation that the online SVM modeling method is feasible.
Keywords
support vector machines; SVM; online modeling method; support vector machine; Computational modeling; Computer science; Helicopters; Kernel; Machine intelligence; Neural networks; Software engineering; Support vector machine classification; Support vector machines; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1389
Filename
4721701
Link To Document