| 一种近似于支持向量机的分类模型 |
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| 引用本文： | 简国明,朱森华.一种近似于支持向量机的分类模型[J].韶关学院学报,2013(12):5-9. |
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| 作者姓名： | 简国明 朱森华 |
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| 作者单位： | 韶关学院数学与信息科学学院,广东韶关512005 |
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| 基金项目： | 广东省自然科学基金项目（S2013040013503）. |
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| 摘 要： | 针对线性可分与非线性可分问题,讨论了支持向量机分类模型及核函数的选择.为避免支持向量机的核函数及参数选择的不确定性,提出一种近似于支持向量机的分类模型,并通过心脏病预测实例对两种模型进行了比较.
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| 关 键 词： | 支持向量机 核函数 分类 心脏病预测 |
On a similar classification model of support vector machine |
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| JIAN Guo-ming,ZHU Sen-hua.On a similar classification model of support vector machine[J].Journal of Shaoguan University(Social Science Edition),2013(12):5-9. |
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| Authors: | JIAN Guo-ming ZHU Sen-hua |
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| Institution: | (College of Mathematics and Information Sciences, Shaoguan University, Shaoguan 512005, Guangdong, China) |
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| Abstract: | Concerning the linearly separable and nonlinear separable problems, the paper discussed SVM classification model and kernel function selection. As to avoid SVM kernel function and parameter selection uncertainty, it proposed a new classification model which was similar to support vector machine classification model, and then compared the two models through the heart disease prediction experiments. |
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| Keywords: | SVM kernel function classification heart disease prediction |
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