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《Engineering of Surveying and Mapping》 2012-04
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Study of the water depth retrieval based on artificial neural network

LIANG Zhi-cheng1,HUANG Wen-qian1,YANG Yang2,ZHANG Yang-yang1(1.Dept.of Hydrography and Cartograthy,Dalian Naval Academy,Dalian 116018,China;2.91039 Troops,Beijing 102401,China)  
Uses Artificial Neural Network method(ANN) to retrive water depth.Study on the factors that influence the retriving technology.Conclude the primary two factors: bedload and chlorophyl.Then add bedload and chlorophyl parameters to the input range,train the net,and retrive water depth of Dalian Gulf with the trained net.The result is good.
【Fund】: 国家自然科学基金资助项目(40371097)
【CateGory Index】: P237
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