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支持向量机在分类中的应用

DOI: 10.11834/jig.200508190

Keywords: 支持向量机,最优分类面,非线性分类,二次规划

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Abstract:

通过引入结构风险最小化原则和最优分类面的概念,介绍了支持向量机及其用于非线性分类的基本原理和训练算法,并选用不同的核函数及参数对一组线性不可分的两类样本进行了划分识别,得到了较好的效果,并对结果进行了分析说明,展望了支持向量机的发展趋势。

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