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BOD-DO耦合人工神经网络水质模拟的研究
引用本文:郭劲松,霍国友,龙腾锐.BOD-DO耦合人工神经网络水质模拟的研究[J].环境科学学报,2001,21(2):140-143.
作者姓名:郭劲松  霍国友  龙腾锐
作者单位:重庆大学城市建设学院,
基金项目:国家自然科学基金资助项目 !(编号 :5 97780 2 1)
摘    要:将人工神经网络的理论和方法引入河流水质模型的建筑中,提出了BOD-DO耦合BP人工神经网络水质模型,应用长江干流重庆段的实测水质样本对模型进行训练与 检验表明:该模型用于水质模拟可行且精度较高,为河流水质模拟开辟了一条简便可行的新途径。

关 键 词:河流  水质模拟  人工神经网络  BP算法  水污染控制
文章编号:0253-2468(2001)-02-0140-04
收稿时间:2/1/2000 12:00:00 AM
修稿时间:2000年2月1日

Study on BOD-DO coupling for water quality simulation with artificial neural network
GUO Jinsong,HUO Guoyou and LONG Tengrui.Study on BOD-DO coupling for water quality simulation with artificial neural network[J].Acta Scientiae Circumstantiae,2001,21(2):140-143.
Authors:GUO Jinsong  HUO Guoyou and LONG Tengrui
Institution:Faculty of Urban Construction, Chongqing University, Chongqing 400045,Faculty of Urban Construction, Chongqing University, Chongqing 400045 and Faculty of Urban Construction, Chongqing University, Chongqing 400045
Abstract:Based on the concept and theory of Artificial Neural Networks, a model of water quality simulated by one\|dimensional BOD\|DO coupling was presented.The adaptability of the simulated model was examined with the data of water quality of Yangtze River that is a main stream in Chongqing region.The result showed that the model is feasible for water quality simulation and is more accurate than the traditional model.
Keywords:water quality simulation  artificial neural network  B\|P algorithm
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