The Application Based on Decision Tree SVM for Multi-class Classification

被引：0

作者：

Hou Huifang ^{[1
]}

Han Ping ^{[1
]}

Cao Dan ^{[1
]}

机构：

[1] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou 450001, Henan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER ENGINEERING AND ELECTRONICS (ICECEE 2015) | 2015年 / 24卷

关键词：

Support vector machines (SVM); decision tree; classification; multi-class;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wastewater treatment process is a multi-class classification problem. While the traditional Support Vector Machines only deal with the binary classification. The traditional SVM has difficulty in solving the multi-class problems like wastewater treatment process. This paper presents a method by introducing the idea of decision binary tree to support vector machine for solving the assessment problem of wastewater water quality. This method distributes classifier to each nodes of decision binary tree. Simulated experiments show the method is effective.

引用

页码：1656 / 1660

页数：5

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