计算机与数字工程Issue(7)：1202-1206,5.DOI:10.3969/j.issn1672-9722.2015.07.010
基于多分类支持向量机的模式识别研究
Pattern Recognition Based on Multi-class Support Vector Machine
苏晓伟1
作者信息
- 1. 克拉玛依职业技术学院信息工程系 克拉玛依 833600
- 折叠
摘要
Abstract
Support vector machine is an important branch in the field of modern artificial intelligence .Based on statistical learning theory ,it implements the structural risk minimization ,improves the generalization ability of the classifier ,guarantees the accuracy of classification .This paper proposes a pattern recognition method based on support vector machine The eigenval‐ues selection sequence minimizing method is adopted to select the characteristic of data sample .On this basis ,the "one‐against‐one" classification algorithm and "one‐against‐all" classification algorithm are analyzed and compared .The experimental results show that the "one‐against‐one" classification algorithm has higher accuracy ,and better generalization ability .关键词
多分类/支持向量机/模式识别/序列极小化Key words
multi-class/support vector machine/pattern recognition/minimizing sequence分类
信息技术与安全科学引用本文复制引用
苏晓伟..基于多分类支持向量机的模式识别研究[J].计算机与数字工程,2015,(7):1202-1206,5.
