Water Quality Prediction of Moshui River in China Based on BP Neural Network
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference（2009）
摘要
The north of Jiaozhou Bay has become the important region for the development strategy of Qingdao in China, because the development space of the old city district gets saturated. The Moshui River will become the main contaminated river of this area. Neural network was used to build the water quality prediction model of the discharge outlet of the river to predict the concentration of COD, ammonia nitrogen and mineral oil. According to the result, the harmful effects of the emission can be analyzed and the pollution receiving ability of this area can be identified, which can meet the pollution gross control after the completion of these new and high-tech industry regions.
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关键词
bp neural network,water quality,mineral oil,pollution gross control,moshui river,china,rivers,jiaozhou bay,development strategy,backpropagation,high-tech industry regions,water quality prediction,environmental science computing,ammonia nitrogen,high-tech industry region,harmful effect,main contaminated river,discharge outlet,neural nets,development space,petroleum,predictive models,water pollution,nitrogen,artificial neural networks,prediction model,neural networks,neural network
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