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。
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 Propatat analysis of these ion） network model, Radial Basis Function Neural Network model, and through comparisons and fitting models, gives the accuracy assessment on the diverse fitting models.
出处
《通信技术》
2008年第11期194-196,共3页
Communications Technology
关键词
GPS
高程异常
拟合
BP神经网络
global position system
elevation abnormal： fitting ： back propatation neural network
