The Dynamic Compensation Method for Virtual Instrument Based on Least Squares Support Vector Machines

被引：0

作者：

Ma Chao ^{[1
]}

Li Shi-Ping ^{[1
]}

Zhang Jin ^{[1
]}

机构：

[1] Second Artillery Engn Coll, Test & Control Lab, Xian 710025, Shaanxi, Peoples R China

来源：

ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6 | 2009年

关键词：

Support vector machines (SVM); Least squares support vector machines (LS-SVM); Sensors; Dynamic compensation;

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：

The standard support vector machine (SVM) and the least squares support vector machine (LS-SVM) was compared and described in this paper On the basis of the compared results, a novel method using LS-SVM model to correct dynamic measurement errors of sensors is developed, The design steps and learning algorithm are also addressed. Compared with the standard SVM-compensation methods, the constraints of inequalities in the standard SVM approach are replaced by equality-type constraints in LS-SVM and the LS-SVM solution follows directly from solving a set of linear equations instead of quadratic programming. As a result, the dynamic compensation method of LS-SVM is higher in accuracy, much capability of noise resistance, so the LS-SVM is better for virtual instrument dynamic system.

引用

页码：147 / 150

页数：4