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《Science of Surveying and Mapping》 2010-S1
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Study on the method for compensating model error based on neural networks

HU Wu-sheng,ZHANG Zhi-wei(Department of Surveying Engineering,School of Transportation,Southeast University,Nanjing 210096,China)  
At first,two traditional methods for compensating function model errors,the method of adding systematic parameters and the least-squares collection method,were introduced in the paper.Second,the BP algorithm of neural network was introduced briefly.A neural network based method for compensating model error was discussed.The special structure of BP network,its calculation steps and the principle of this method were introduced in detail.Then in one engineering project,the results of different methods for compensating model errors were compared with each other.It was shown that the proposed method based on neural network for compensating model error was more effective than traditional methods.At last,some conclusions were reached.
【Fund】: 国家863项目(2007AA12Z228);; 江苏省科技支撑计划社会发展项目(BE2009663)
【CateGory Index】: P207
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