| 基于神经网络的GPS高程拟合及其MATLAB实现 |
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| 引用本文： | 胡川. 基于神经网络的GPS高程拟合及其MATLAB实现[J]. 城市勘测, 2010, 0(5): 75-77 |
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| 作者姓名： | 胡川 |
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| 作者单位： | 四川建筑职业技术学院测量工程研究所,四川德阳618000 |
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| 基金项目： | 四川省环境保护科技项目 |
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| 摘 要： | GPS高程转换通常采用某种函数模型进行拟合转换,函数模型难以真实模拟似大地水准面,具有较大的模型误差,造成拟合效果不佳。BP神经网络方法进行GPS高程拟合可以减少模型产生的误差。文章采用MATLAB语言实现了BP神经网络对GPS高程转换拟合并与二次曲面拟合结果进行比较,结果体现了神经网络进行高程拟合的优越性。
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| 关 键 词： | BP 神经网络 高程拟合 MATLAB 全球定位系统 |
Based on Neural Net Fitting GPS Elevation and Implemented by Matlab |
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| Hu Chuan. Based on Neural Net Fitting GPS Elevation and Implemented by Matlab[J]. Urban Geotechnical Investigation & Surveying, 2010, 0(5): 75-77 |
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| Authors: | Hu Chuan |
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| Affiliation: | Hu Chuan(Institute of Engineering Surveying,Sichuan College of Architectural Technology,Deyang 618000,China) |
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| Abstract: | GPS elevation conversion usually adopted a function of model to fitting,function model can not simulate quasi-geoid with large model error and resulting in estimated ineffective.BP neural network method for GPS elevation conversion could reduce the model-generated errors.Articles by MATLAB language to implement the BP neural network for GPS elevation conversion to be combined with the quadratic surface fitting results were compared and the results reflected the neural network superiority. |
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| Keywords: | BP Neural Net Elevation Fitting MATLAB GPS |
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