| 支持向量机理论与应用 |
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| 引用本文： | 崔长春,刘文林,郑俊哲.支持向量机理论与应用[J].沈阳工程学院学报(自然科学版),2007,3(2):170-172. |
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| 作者姓名： | 崔长春 刘文林 郑俊哲 |
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| 作者单位： | 沈阳工程学院,动力工程系,沈阳,110136 |
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| 摘 要： | 支持向量机是一种新型的机器学习方法,由于其出色的学习性能,该技术已成为国际机器学习领域新的研究热点.介绍了统计学习理论和以该理论为基础的支持向量机,并简述了支持向量机目前的应用状况,指出了支持向量机研究中待解决的一些问题和今后进一步的研究方向.
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| 关 键 词： | 机器学习 统计学习理论 支持向量机 |
| 文章编号： | 24397938 |
| 修稿时间： | 05 15 2006 12:00AM |
Theory and application of support vector machine |
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| CUI Chang-chun,LIU Wen-lin,ZHENG Jun-zhe.Theory and application of support vector machine[J].Journal of Shenyang Institute of Engineering:natural Science,2007,3(2):170-172. |
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| Authors: | CUI Chang-chun LIU Wen-lin ZHENG Jun-zhe |
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| Affiliation: | Department of Thermal Power Engineering, Shenyang Institute of Engineering, Shenyang 110136, China |
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| Abstract: | Support vector machine is a new kind of machine learning method.Because of its excellent learning performance,this technology has become the new research hotspot in the field of international machine learning.Introduces the statistical learning theory and support vector machine based on this theory,states in brief the present application situation of support vector machine,points out some problems existing in support vector machine research and further research direction. |
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| Keywords: | machine learning statistical learning theory Support Vector Machine(SVM) |
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