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| 引用本文： | 雷雨,赵丹宁.??????С?????????????????????[J].大地测量与地球动力学,2013,33(2):91-95. |
| 作者姓名： | 雷雨 赵丹宁 |
| 作者单位： | 1. 中国科学院国家授时中心,西安 710600;中国科学院时间频率基准重点实验室,西安 710600;中国科学院大学,北京 100049 2. 中国科学院国家授时中心,西安 710600;中国科学院精密导航定位与定时技术重点实验室,西安 710600;中国科学院大学,北京 100049 |
| 摘 要： | ??????????????????????????С??????????????????????????????????LS??SVM?????????????????????ζ???????????????????????????С???????????????????1??????????????????????????????????????????????С??????????????????????? |
| 关 键 词： | ??С????????????? ????? ??????? ?????? ???????? |
| 收稿时间： | 2012-11-08 |
CLOCK ERROR PREDICTION USING LEAST SQUARES SUPPORT VECTOR MACHINES |
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| Lei Yu,Zhao Danning.CLOCK ERROR PREDICTION USING LEAST SQUARES SUPPORT VECTOR MACHINES[J].Journal of Geodesy and Geodynamics,2013,33(2):91-95. | |
| Authors: | Lei Yu Zhao Danning |
| Institution: | 1）National Time Service Centre, CAS, Xi’an 710600 2）Key Laboratory of Time and Frequency Primary Standards, CAS, Xi’an 710600 3）Key Laboratory of Precision Navigation and Timing Technology, CAS, Xi’an 710600 4）University of Chinese Academy of Sciences, Beijing 100049 |
| Abstract: | To improve the prediction accuracy of satellite clock error, least squares support vector machines（LS-SVM） is employed. The impact of the kernel function type on LS-SVM is analyzed. Furthermore, the prediction accuracy is compared with that of the secondary are polynomial and grey system model. The results show that the LS-SVM method has higher accuracy than two other methods, and the linear kernel function is better than others for the method. |
| Keywords: | Least Squares Support Vector Machines（LS-SVM） kernel function satellite clock error clock error prediction grey system model |
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