Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
Author
Source
Journal of Control Science and Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-11
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied.
First, the mathematical model of the regression least squares support vector machine is studied, and then the algorithm of the regression least squares support vector machine is designed.
Finally, the performance prediction simulation of hydraulic excavator based on regression least squares support vector machine is carried out, and simulation results show that this method can predict the performance changing rules of hydraulic excavator correctly.
American Psychological Association (APA)
Chen, Zhan-bo. 2014. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1040208
Modern Language Association (MLA)
Chen, Zhan-bo. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-1040208
American Medical Association (AMA)
Chen, Zhan-bo. Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator. Journal of Control Science and Engineering. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1040208
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040208