Simulation Experiment Result Forecast Method Based on Support Vector Machine

摘要：

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.

关键词： exploratory simulation analysis support vector machine forecast classification simulation experiment

作者: Shuguang Zhu Zhiqiang Li Xiaofeng Hu Guangya Si Liyan Qian Qian mo Guangqi Huang

作者单位: Center for Engineering Design and Research under the Headquarters of General Equipment Beijing, Chin The Department of Information Operation & Command Training National Defense University Beijing, Chin School of Electronics Engineering and Computer Science Peking University Beijing, China Network Center Beijing Technology and Business University Beijing, China School of Information System and Management National University of Defense Technology Changsha, Chin

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1172-1175

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）