| BP神经网络在GPS高程异常拟合中的应用 |
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| 引用本文： | 杨莉,周志富.BP神经网络在GPS高程异常拟合中的应用[J].测绘工程,2010,19(4):12-15. |
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| 作者姓名： | 杨莉 周志富 |
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| 作者单位： | 大同大学工学院,山西大同,037003;大同大学工学院,山西大同,037003 |
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| 摘 要： | 以提高GPS高程异常拟合的精度为目标,针对实际工程数据,对BP网络模型进行详细的设计,应用BP神经网络方法进行粗差的剔除和高程异常拟合实验及模型精度的评定,得到较满意的结果。通过与多面函数法得到的结果进行比较,证实该模型可使拟合精度有较大提高。
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| 关 键 词： | GPS 高程异常 拟合 BP神经网络 |
Application of BP neural network in GPS elevation abnormal fitting |
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| YANG Li,ZHOU Zhi-fu.Application of BP neural network in GPS elevation abnormal fitting[J].Engineering of Surveying and Mapping,2010,19(4):12-15. |
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| Authors: | YANG Li ZHOU Zhi-fu |
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| Institution: | YANG Li; ZHOU Zhi-fu(Engineering School; Datong University; Datong 037003; China); |
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| Abstract: | This paper aims at improving GPS elevation abnormal fitting precision.For the actual engineering data it makes a detailed design for BP neural network model,and it removes the gross error and dose elevation abnoraml fitting experiments using BP nerual network method.Then it makes an assesment on the precision of the model.The results are satisfying.The comparison with the results of Multi-faceted function method proves that the model in the paper improves the fitting precision a lot. |
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| Keywords: | Global Positioning System elevation abnormal fitting back propagation neural network |
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