基于小波神经网络的GPS高程异常拟合模型探究

Journal of Water Resources and Architectural Engineering(2013)

Cited 23|Views3
No score
Abstract
利用GPS进行高程测量具有很多优越性,高精度地确定高程异常对于用GPS高程测量部分代替普通几何水准测量具有重要意义。依据BP神经网络和小波神经网络的基本原理,利用实验数据证实了小波神经网络模型比BP神经网络模型和文献[6]模型在GPS高程异常拟合中具有更高的精度,说明小波神经网络在GPS高程异常拟合中具有较强的实用性。
More
Translated text
Key words
BP neural network,wavelet neural network,elevation abnormalism,fitting
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined