大地测量与地球动力学2013，Vol.33Issue(2)：91-95,5.
基于最小二乘支持向量机的钟差预报
CLOCK ERROR PREDICTION USING LEAST SQUARES SUPPORT VECTOR MACHINES
摘要
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 predic tion 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.关键词
最小二乘支持向量机/核函数/卫星钟差/钟差预报/灰色系统模型Key words
Least Squares Support Vector Machines ( LS-SVM ) / kernel function/ satellite clock error/ clock error prediction/ grey system model分类
天文与地球科学引用本文复制引用
雷雨,赵丹宁..基于最小二乘支持向量机的钟差预报[J].大地测量与地球动力学,2013,33(2):91-95,5.基金项目
国家自然科学基金(10573019) （10573019）
