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BP网络应用于黄河水质的预测研究
引用本文:陈丽华,常沁春,陈兴国,胡之德.BP网络应用于黄河水质的预测研究[J].兰州大学学报(自然科学版),2003,39(2):53-56.
作者姓名:陈丽华  常沁春  陈兴国  胡之德
作者单位:1. 兰州大学化学化工学院,甘肃,兰州,730000
2. 甘肃省环境监测中心站,甘肃,兰州,730030
基金项目:国家民委 2 0 0 1年重点科研资助项目
摘    要:利用黄河兰州段水质指标浓度时间序列作为学习样本,选取了DO、COD、氨氮、重金属离子等l0项指标作为输出参数,运用人工神经网络BP模型中的Levenberg—Marguardt优化算法对学习样本优化建模,将优化好的网络的预测结果与实测结果进行了比较,表明BP网络可以很好地用于黄河水质指标值及水质类别的预测。

关 键 词:黄河  水质预测  BP网络  水质指标  Levenberg-Marguardt优化算法  水质评价
文章编号:0455-2059(2003)02-0053-04
修稿时间:2002年3月27日

Using BP neutral network to predict the water quality of the Yellow River
CH EN L i- hua,CH ANG Qin- chun,CH EN Xing- guo,H U Zhi- de.Using BP neutral network to predict the water quality of the Yellow River[J].Journal of Lanzhou University(Natural Science),2003,39(2):53-56.
Authors:CH EN L i- hua  CH ANG Qin- chun  CH EN Xing- guo  H U Zhi- de
Institution:CH EN L i- hua1,CH ANG Qin- chun2,CH EN Xing- guo1,H U Zhi- de1
Abstract:Concentration of water qualitative indexes oftime series in Lanzhou reaches of the Yellow Riv- er acted as studying samples.Ten indexes including DO,COD,NH3 - N,heavy metal ions and so on were target parameters.Studying samples were modeled and optimized with Levenberg- Marguardt algorithm of BP neutral network models.Comparison between the predicted results of the network and the deter- mined results indicated thatthe BP network can be satisfactorily used to predictwater qualitative indexes and classification of the Yellow River.
Keywords:water quality index  BP network  Levenberg- Marguardt algorithm
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