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A BOD-DO coupling model for water quality simulation by artificial neural network
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作者 郭劲松 LONG +1 位作者 Tengrui 《Journal of Chongqing University》 CAS 2002年第2期46-49,共4页
A one-dimensional BOD-DO coupling model for water quality simulation is presented, which adopts Streeter-Phelps equations and the theory of back-propagation artificial neural network. The water quality data of Yangtze... A one-dimensional BOD-DO coupling model for water quality simulation is presented, which adopts Streeter-Phelps equations and the theory of back-propagation artificial neural network. The water quality data of Yangtze River in the Chongqing region in the year of 1989 are divided into 5 groups and used in the learning and testing courses of this model. The result shows that such model is feasible for water quality simulation and is more accurate than traditional models. 展开更多
关键词 water quality simulation artificial neural network B-P algorithm
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