| 一种基于支持向量机的分类算法 |
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| 引用本文： | 王晓霞,尹四清.一种基于支持向量机的分类算法[J].山西电子技术,2007(3):17-18,25. |
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| 作者姓名： | 王晓霞 尹四清 |
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| 作者单位： | 中北大学电子与计算机科学技术学院,山西太原030051 |
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| 摘 要： | 支持向量机是在统计学理论基础上提出的一种新的机器学习方法，由于其出色的学习性能，该技术已成为机器学习界的研究热点，并成功地应用在文本分类、图像识别、生物信息处理等领域。这里简要介绍了支持向量机算法及其应用，并且讨论了其未来的发展方向。
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| 关 键 词： | 支持向量机 训练算法 |
| 修稿时间： | 2006-10-26 |
Classification Algorithm Based on Support Vector Manchines |
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| Wang Xiao-xia Yin Si-qing.Classification Algorithm Based on Support Vector Manchines[J].Shanxi Electronic Technology,2007(3):17-18,25. |
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| Authors: | Wang Xiao-xia Yin Si-qing |
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| Affiliation: | College of Electronics and Computer Science and Technology, North University of China, Taiyuan Shanxi 030051, China |
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| Abstract: | Support vector machine is a new machine learning technique developed on the basis of statistical, this theory has become the hotspot of machine learning because of its excellent learning performance. It has been successfully applied in text classification, image recognition and biological information processing. In this paper, the training algorithms and application of support vector machine are introduced. At the same time, the future developing direction is discussed. |
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| Keywords: | support vector machine training algorithm |
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