Study on the Fault of Power-Shift Steering Transmission Based on SVM Structural Risk

被引：0
|
作者：
Zhang, Ying-feng [1 ]
Ma, Biao [1 ]
Zheng, Chang-song [1 ]
Zhang, Jin-le [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS | 2009年
关键词：
Power-Shift Steering Transmission; SVM; Structural Risk;
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 (SVM) is an efficient method for data mining of oil analysis. The principle and structural risk of SVM are described in this paper. And the structural risk is studied using oil analysis data. During the process, parameters determination is a very important part because parameters have great influence on the performance of SVM. We select the Radial Basis Function (RBF) as the kernel function of SVM and study the influence of parameters s and C for SVM structural risk. The recognition rate of SVM model is influenced by SVM structural risk. The recognition rate is studied through an experimentation research.
引用
收藏
页码：3045 / 3049
页数：5
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