| BP神经网络在GPS高程拟合中的应用探讨 |
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| 引用本文： | 钱建国,刘淑亮. BP神经网络在GPS高程拟合中的应用探讨[J]. 测绘与空间地理信息, 2017, 0(1). DOI: 10.3969/j.issn.1672-5867.2017.01.005 |
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| 作者姓名： | 钱建国 刘淑亮 |
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| 作者单位： | 辽宁工程技术大学测绘与地理科学学院,辽宁阜新,123000 |
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| 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。
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| 关 键 词： | 神经网络 GPS 高程拟合 BP神经网络 |
Discussion on Application of BP Neural Network in GPS Height Fitting |
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| QIAN Jian-guo,LIU Shu-liang. Discussion on Application of BP Neural Network in GPS Height Fitting[J]. Geomatics & Spatial Information Technology, 2017, 0(1). DOI: 10.3969/j.issn.1672-5867.2017.01.005 |
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| Authors: | QIAN Jian-guo LIU Shu-liang |
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| Abstract: | 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 algorithm and polynomial fitting data by iteration,Prove BP neural network under certain conditions with higher accuracy,more prominent practicality BP neural network algorithm. |
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| Keywords: | neural network GPS height fitting BP neural network |
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