DocumentCode
1907707
Title
Simulation Experiment Result Forecast Method Based on Support Vector Machine
Author
Zhu, Shuguang ; Li, Zhiqiang ; Hu, Xiaofeng ; Si, Guangya ; Qian, Liyan ; Mo, Qian ; Huang, Guangqi
Author_Institution
Center for Eng. Design & Res., Headquarters of Gen. Equip., Beijing, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
220
Lastpage
223
Abstract
Simulation experiment result forecast method based on support vector machine (SVM) is put forward and elaborated. Two-class and multiclass forecast experiments are successfully performed. And SVMs are proved to be powerful in solving the high time cost problem occurring in the exploratory simulation analysis.
Keywords
forecasting theory; simulation; support vector machines; forecast method; simulation; support vector machine; Analytical models; Costs; Design engineering; Management training; Predictive models; Solid modeling; Support vector machine classification; Support vector machines; Technology forecasting; Training data; classification; forecast; simulation analysis; simulation experiment; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.290
Filename
5288126
Link To Document