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《Engineering of Surveying and Mapping》 2002-03
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The Test Research on Neural Networks Model Used for Transforming GPS Height

HU Wu-sheng 1 ,HUA Xi-sheng 2 ,BAO Xing-nan 1 (1.College of Traffic and Transportation Engineering Southeast University,Nanjing210018,China;2.College of Civil Engineering,Hehai University,Nanjing210098,China;3.Jiangsu Institute of Survey  
The basic structure and mathematics formulas of algorithm of BP of neural networks is intro-duced briefly in this paper.The neural networks model,five-layer structure of BP networks used for transforming GPS height is also introduced.Through the practice of one project,the neural networks model in detail(for example,the design of input and output layers,determine the best numbr of points in hidden layer,etc.)is studied by some test,and some conclusions which have practicable value are re-ceived.
【CateGory Index】: P228.4
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