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)
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。
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Key words
BP neural network,wavelet neural network,elevation abnormalism,fitting
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