首页 | 本学科首页   官方微博 | 高级检索  
     检索      

神经网络在卫星钟差短期预报中的应用研究
引用本文:郭承军,滕云龙.神经网络在卫星钟差短期预报中的应用研究[J].测绘科学,2011,36(4):198-200.
作者姓名:郭承军  滕云龙
作者单位:电子科技大学电子科学技术研究院,成都,610054
摘    要:本文针对卫星钟差的特点,提出了基于神经网络的卫星钟差短期预报模型,给出了基于径向基函数(RBF)网络进行卫星钟差预测的基本思想、预测模型和实施步骤,并对比分析了神经网络模型与灰色系统理论模型的区别.为验证本文提出的预报模型的可行性和有效性,利用GPS卫星钟差数据进行钟差预报精度分析,并与灰色系统模型进行对比分析.仿真结...

关 键 词:径向基神经网络  卫星钟差序列  预报  滑动窗  正交最小二乘

Application of neural network in satellite clock bias short-term prediction
GUO Cheng-jun,TENG Yun-long.Application of neural network in satellite clock bias short-term prediction[J].Science of Surveying and Mapping,2011,36(4):198-200.
Authors:GUO Cheng-jun  TENG Yun-long
Institution:(Research Institute of Electronic Science and Technology,China University of Electronic Science and Technology,Chengdu 610054,China)
Abstract:Aiming at the characteristic of satellite clock bias,a prediction model based on artificial neural networks was presented for clock bias short-time prediction in the paper.The basic ideas,prediction models and steps of clock bias forecasting based on radial basis function(RBF) network were discussed respectively.The differences between neural network and other statistical prediction method,such as gray predicting model,were compared respectively.To validate the feasibility and validity of the proposed method,it made a careful precision analysis for satellite clock bias prediction with the performance parameters of GPS satellite clock,and made comparison and analysis with Grey system model and neural network model.The results of simulation showed that the prediction precision of the novel four-stage model based on wavelet analysis and artificial neural networks was more better,could afford high precise satellite clock bias prediction for real-time GPS precise point positioning.
Keywords:radial basis function neural network  satellite clock bias sequence  prediction  sliding window  orthogonal least square
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号