| 一种改进的简化支持向量机 |
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| 引用本文： | 刘培胜,贾银山,韩云萍.一种改进的简化支持向量机[J].辽宁石油化工大学学报,2009,29(1). |
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| 作者姓名： | 刘培胜 贾银山 韩云萍 |
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| 作者单位： | 1. 辽宁石油化工大学计算机与通信工程学院,辽宁抚顺,113001
2. 抚顺师范高等专科学校计算机系,辽宁抚顺,113006 |
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| 摘 要： | 在针对大样本问题时,支持向量机所需训练时间和内存都急剧增加。为解决这一问题,提出一种改进的支持向量机简化方案。根据能成为支持向量的样本主要分布在边界上,该方案提出改进提取边界样本的方法提高约简率,保留边界样本并约简非边界样本来减小样本规模。经实验验证,此约简方法约简效果好,泛化性能几乎没有损失,表明该方案有效可行。
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| 关 键 词： | 支持向量机 约简 样本 |
An Improved Simplifying Support Vector Machine |
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| LIU Pei-sheng,JIA Yin-shan,HAN Yun-ping.An Improved Simplifying Support Vector Machine[J].Journal of Liaoning University of Petroleum & Chemical Technology,2009,29(1). |
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| Authors: | LIU Pei-sheng JIA Yin-shan HAN Yun-ping |
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| Affiliation: | 1.School of Computer and Communication Engineering;Liaoning University of Petroleum & Chemical Technology;Fushun Liaoning 113001;P.R.China;2.Department of Computer;Fushun Teachers College;Fushun Liaoning 113006;P.R.China |
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| Abstract: | When the number of the training set is very large,the training time and needed memory of support vector machine increase quickly.In order to solve the problem,an improved simplifying method was put forward.The samples which may be support vectors mainly distribute on both borders,so a method which fetches border samples better was used to improve simplifying rate,and decrease the number of samples by preserving border samples and deleting non-border samples.The experiment results prove that the simplifying ... |
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| Keywords: | Support vector machine Simplifying Sample |
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