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
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;
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
DOI :
10.1109/ICICTA.2009.290
