Discussion on the Relation Between SVM Training Sample Size and Correct Forecast Ratio for Simulation Experiment Results

摘要：

A series of support vector machine (SVM) forecast experiments are carried out to reveal the relation between the SVM training sample size and SVM correct forecast ratio for simulation experiment results. Experiment results show that the SVM correct forecast ratio increases to some extent with the number of training samples becoming more and then keeps unchanged even if the SVM training sample number increases further. And SVM has also been proved to be able to overcome the over-fitting issue always afflicting BackPropagation Neural Networks (BPNN).

关键词： support vector machine forecast experiment training sample size correct forecast ratio

作者: Shuguang Zhu Fangzhou Zhu Weibing Fan Qian Mo Zhiqiang Li Xiaofeng Hu Guangya Si

作者单位: Center for Engineering Design and Research under the Headquarters of General Equipment Beijing, Chin College of Computer Science & Technology Huazhong University of Science & Technology Wuhan, China Network Center Beijing Technology and Business University Beijing, China The Department of Information Operation & Command Training National Defense University Beijing, Chin

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1308-1311

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）