SVM Classification Algorithm in ECG Classification

被引：0
|
作者：
Zhu, Yanwei [1 ]
机构：
[1] Tangshan Normal Univ, Dept Math & Informat Sci, Tangshan, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 2 | 2012年 / 308卷
关键词：
Support Vector Machine (SVM); Kernel function; Classification; Electrocardiogram;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Support Vector Machine classification was studied by this article. Kernel function was used on Electrocardiogram (ECG) classification. Classification results show that the support vector machine classification algorithm reduce the complexity of the classification algorithm, and to ensure that the ECG classification accuracy, while the feasibility and effectiveness of the classification of ideas in the ECG classification.
引用
收藏
页码：797 / 803
页数：7
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