节点文献
支持向量机方法在GPS高程转换中的应用
The application of support vector machine method in GPS height transformation
【摘要】 结合GPS测量和水准测量资料,利用支持向量机(SVM)方法对GPS高程进行了转换,并与神经网络和多项式拟合等拟合的结果进行了比较,得出了一些有益的结论.
【Abstract】 The height offered by GPS receiver is the geodetic height above the WGS-84 ellipsoid,but our country uses normal height at present.We must convert geodetic height to normal height in order to make use of the GPS height in engineering application.In this paper,a method for converting GPS height to normal one by means of support vector machine is proposed,and compared with the methods of neural network,polynomial fitting etc.Tested by the real case,we get some helpful and useful conclusions.
【关键词】 支持向量机;
神经网络;
GPS高程;
高程转换;
【Key words】 support vector machine; neural network; GPS height; height transformation;
【Key words】 support vector machine; neural network; GPS height; height transformation;
- 【文献出处】 山东理工大学学报(自然科学版) ,Journal of Shandong University of Technology(Natural Science Edition) , 编辑部邮箱 ,2007年03期
- 【分类号】P228.4
- 【被引频次】3
- 【下载频次】78