| 支持向量机的研究与发展 |
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| 引用本文： | 方辉.支持向量机的研究与发展[J].大庆师范学院学报,2007,27(5):21-23. |
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| 作者姓名： | 方辉 |
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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,121000 |
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| 摘 要： | 支持向量机是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,并已广泛应用于模式识别与回归分析。已成为国际机器学习界的研究热点。笔者主要对其基本原理与研究发展情况进行了探讨和研究。
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| 关 键 词： | 机器学习 统计学习原理 分类 模式识别 支持向量机 |
| 文章编号： | 1006-2165（2007）05-0021-03 |
| 收稿时间： | 2007-04-27 |
| 修稿时间： | 2007年4月27日 |
Research and Development of Support Vector Machine |
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| FANG Hui.Research and Development of Support Vector Machine[J].Journal of Daqing Normal University,2007,27(5):21-23. |
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| Authors: | FANG Hui |
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| Institution: | Department of Information Science and Technology, Bohai University, Jinzhou 121000, China |
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| Abstract: | Support vector machine is one new machine learning method 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 hot international machine learning research spot. The author mainly discusses and re- seaches its basic principle and its current state of researching and development. |
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| Keywords: | machine learning statistical learning theory class pattern recognition support vector machine |
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