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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1389
