| 三种高程异常拟合模型比较 |
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| 引用本文： | 邹明普,叶芬.三种高程异常拟合模型比较[J].北京测绘,2014(6):20-22. |
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| 作者姓名： | 邹明普 叶芬 |
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| 作者单位： | 湖南省第一测绘院,湖南衡阳,421001;湖南省第一测绘院,湖南衡阳,421001 |
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| 摘 要： | 将二次曲面、BP神经网络、最小二乘支持向量机应用与高程异常拟合,并用某地区数据进行了实验验证,结果表明,最小二乘支持向量机应用于高程异常拟合精度最优。
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| 关 键 词： | 高程异常 二次曲面 BP神经网络 最小二乘支持向量机 |
Comparison of 3 Kinds of the GPS Height Anomaly Fitting |
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| ZOU Ming-pu,YE Fen.Comparison of 3 Kinds of the GPS Height Anomaly Fitting[J].Beijing Surveying and Mapping,2014(6):20-22. |
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| Authors: | ZOU Ming-pu YE Fen |
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| Institution: | (The First Surveying and Mapping Institute of Hunan Province, I--Iengyang Hunan 421001 ,China) |
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| Abstract: | The quadraftc surface model BP neural network model and least squares support vector machine （LS-SVM） model is applied to the GPS height anomaly fitting. The GPS elevation data in a certain area is used, the results shows LS- SVM model would be significantly better than quadratic surface model and BP neural network model. |
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| Keywords: | GPS height anomaly fitting quadraftc surface model BP neural network models least squares support vector |
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