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基于BP人工神经网络的GPS高程异常拟合方法研究
引用本文:陈刚,张明,张芯.基于BP人工神经网络的GPS高程异常拟合方法研究[J].通信技术,2008,41(11).
作者姓名:陈刚  张明  张芯
作者单位:中国地质大学信息工程学院,湖北武汉,430074
摘    要:近几年来在GPS水准高程拟合方法的研究成果的基础上,对基于BP人工神经网络的GPS高程异常拟合方法进行了研究.利用实际工程数据,对BP网络模型和BP神经网络组合算法进行了试验研究,通过比较分析,给出了拟合模型的精度评价.

关 键 词:高程异常  拟合  BP神经网络

Research on GPS Elevation Abnormal Fitting Based on BP Artificial Neural Network
CHEN Gang,ZHANG Ming,ZHANG Xin.Research on GPS Elevation Abnormal Fitting Based on BP Artificial Neural Network[J].Communications Technology,2008,41(11).
Authors:CHEN Gang  ZHANG Ming  ZHANG Xin
Affiliation:CHEN Gang,ZHANG Ming,ZHANG Xin (Faculty of Information Engineering,China University of Geosciences,Wuhan Hubei 430074,China)
Abstract:Based on the research results of GPS leveling elevation fitting, this paper studies the methods on GPS elevation abnormal fitting based on artificial neural network. By using practical data, it studies the BP(Back Propatation)network model, Radial Basis Function Neural Network model, and through comparisons and analysis of these fitting models, gives the accuracy assessment on the diverse fitting models.
Keywords:GPS
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