| 支持向量机的算法研究 |
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| 引用本文： | 方辉,王倩. 支持向量机的算法研究[J]. 长春师范学院学报, 2007, 0(6) |
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| 作者姓名： | 方辉 王倩 |
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| 作者单位： | 渤海大学信息科学与工程学院 辽宁锦州121013(方辉)，锦州市绿野环境工程开发中心 辽宁锦州121000(王倩) |
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| 摘 要： | 支持向量机(support vector machine,SVM)是20世纪90年代发展起来的一种新型机器学习方法,是在统计学习理论基础上发展起来的一种新的数据挖掘方法,已广泛应用于模式识别与回归分析。并已成为国际机器学习界的研究热点。本文主要讨论其基本原理与SVM训练算法。
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| 关 键 词： | 支持向量机 机器学习 分类 |
Research of Algorithm on Support Vector Machine |
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| FANG Hui,WANG Qian. Research of Algorithm on Support Vector Machine[J]. Journal of Changchun Teachers College, 2007, 0(6) |
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| Authors: | FANG Hui WANG Qian |
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| Affiliation: | FANG Hui1,WANG Qian2 |
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| Abstract: | Support vector machine is one new machine learning method which developped in 1990s and it is a novel data mining technique based on statistical learning theory and has been used in pattern classification and regression estimation widely.It has become the focus in international machine learning research.This article mainly discusses its basic principle and the SVM training algorithm. |
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| Keywords: | support vector machine machine learning class |
| 本文献已被 CNKI 等数据库收录！ |
