摘要
神经网络算法一直是国内外研究的热点问题,BP神经网络算法具有更小的模型误差,因此,被广泛应用于GPS高程拟合。本文通过对同一区域GPS高程拟合的应用探究,运用迭代运算对比BP神经网络算法与多项式拟合数据,从而证明BP神经网络在一定条件下具有更高的精度,更加突出了BP神经网络算法的实用性。
Neural network algorithm has been a hot issue in the world of research, BP neural network algorithm has a smaller model error is widely used GPS Elevation Fitting. By applying the same area to explore GPS Height Fitting, Compare BP neural network algo- rithm and polynomial fitting data by iteration, Prove BP neural network under certain conditions with higher accuracy, more prominent praetieality BP neural network algorithm.
出处
《测绘与空间地理信息》
2017年第1期18-20,共3页
Geomatics & Spatial Information Technology
