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《Journal of Hainan Normal University(Natural Science)》 2008-04
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A model to evaluate do of river based on artificial neural network and stylebook

Chen Lihua1, Ma Shengquan2, LI Li3 (1. Center of Experiment,Northwest University for Nationality,LanZhou 730030,China; 2. Department of Mathematics, Hainan Normal University,HaiKou 571158,China; 3. College of Chemical Engineering,Northwest University for Nationality,Lanzhou 730030,China)  
Three important factors: the outflow, the water temperature and the pH, which influenced the DO (dissolved oxigen) of river directly were used to set up the BP neural network based on L-M algorithm. And the DO concentration of the Yellow River was predicted successfully with this neural network. Four methods were used to unitary the learning samples, and then the network was trained by them. The results showed that the network can predict the DO concentration satisfactorily which was unified by the fourth method, and the numbers of network's learning sample effected the precision of the network's prediction after many numbers were inserted in these learning samples lineally.
【Fund】: 国家教育部“春晖”计划(S2004-1-62003)
【CateGory Index】: TP18
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