Improved Support Vector Machine Multi-classification Algorithm

被引：0
|
作者：
Zhu, Yanwei [1 ]
Zhang, Yongli [2 ]
Lin, Shufei [3 ]
Sun, Xiujuan [1 ]
Zhang, Qiuna [2 ]
Liu, Xiaohong [2 ]
机构：
[1] Tang Shan Teachers Coll, Dept Math & Informat Sci, Tang Shan, Peoples R China
[2] He Bei Polytech Univ Tang Shan, Coll Light ind, Dept Basic courses, Tang Shan, Peoples R China
[3] North Univ Ethnics, Dept Comp, Yinchuan, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 2 | 2010年 / 106卷
关键词：
support vector machine; multi-classification; seismic data; coding; NEURAL-NETWORKS;
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：
After support vector machine multi-class classification algorithms was studied, a kind of improved method of support vector machine for multi-class problems was given in this paper. After experimenting, it is better than one-against-one Method and one-against-the rest Method. This support vector machine for multi-class method saves time and enhances precision of forecast. This improved multi-class method is used to class seismic facies. The precision of forecast is very high.
引用
收藏
页码：119 / +
页数：2
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