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《Marine Science Bulletin》 2010-02
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Integrated assessment of sea water quality based on BP artificial neural network

LI Xue1,LIU Chang-fa1,2,ZHU Xue-hui1 ,XIE Xie1 (1. College of Marine Environment Engineering,Dalian Ocean University,Dalian 116023,China; 2. Key Lab of Offshore Marine Environmental Research of Liaoning Higher Education,Dalian 116023,China)  
In order to carry out an integrated assessment of sea water quality objectively,this paper based on the concept and principle of artificial neural network,generated appropriate training samples for BP artificial neural network model through the method of producing samples to the concentration of various pollution index of sea water quality from the viewpoint of threshold,established the BP artificial neural network model of sea water quality assessment using multi-layer neural network with error back-propagation algorithm. This model is used to assess water environment and obtain sea water quality categories of offshore area in Bohai Bay through calculating. The calculations show that the pollution index in river’s wet season is higher than that of the dry season from 2004 to 2007,and the pollution is particularly serious in 2005 and 2006,but a little better in 2007. The assessment results show that the model is reasonable in design and higher in generalization,meanwhile,is common,objective and practical to sea water quality assessment.
【Fund】: 国家海洋公益性行业专项(200805069)
【CateGory Index】: X824
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