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《Science of Surveying and Mapping》 2013-05
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Prediction of GPS water vapor based on EMD and ANN

LIU Yan-ping;YANG Jing;WANG Yong;School of Civil Engineering,Central South University;Hebei Engrneering and Technical College;Hebei Research Center of Earthquake Engineering;  
The method of Empirical mode Decomposition(EMD)and Artificial Neural Network(ANN)were applied to predict GPS precipitable water vapor(PWV)in the paper. Firstly it decomposed GPS PWV by the method of EMD,and solved the endpoint problem. Secondly it separately predicted each component of GPS PWV EMD results with RBF neural network,and reconstructed the final prediction results. Compared with the PWV predicted by ANN and GPS PWV,it was concluded that the accuracy of the PWV predicted by the method of EMD and ANN is higher than the accuracy of the PWV predicted by ANN.
【Fund】: 河北省自然科学基金(2010000921);; 国家科技支撑计划课题(2011BAK07B01-04);; 湖南省研究生科研创新项目(CX2012B061);; 河北省教育厅项目(2H2012060)
【CateGory Index】: P228.4;P426.6
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