Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
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 supp...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/686130 |
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| _version_ | 1832550114620604416 |
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| author | Zhan-bo Chen |
| author_facet | Zhan-bo Chen |
| author_sort | Zhan-bo Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-073790c5e5574d2dbf7a8a17994588f9 |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-073790c5e5574d2dbf7a8a17994588f92025-02-03T06:07:34ZengWileyJournal of Control Science and Engineering1687-52491687-52572014-01-01201410.1155/2014/686130686130Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic ExcavatorZhan-bo Chen0Zhongnan University of Economics and Law, Wuhan 430074, ChinaIn 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.http://dx.doi.org/10.1155/2014/686130 |
| spellingShingle | Zhan-bo Chen Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator Journal of Control Science and Engineering |
| title | Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator |
| title_full | Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator |
| title_fullStr | Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator |
| title_full_unstemmed | Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator |
| title_short | Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator |
| title_sort | research on application of regression least squares support vector machine on performance prediction of hydraulic excavator |
| url | http://dx.doi.org/10.1155/2014/686130 |
| work_keys_str_mv | AT zhanbochen researchonapplicationofregressionleastsquaressupportvectormachineonperformancepredictionofhydraulicexcavator |