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BP神经网络在阜新柳河水质预测中的应用

发表时间:2008-08-31  浏览量:1515  下载量:727
全部作者: 常欢,刘志斌,童英伟
作者单位: 辽宁工程技术大学资源与环境工程学院
摘 要: 很多复杂因素会影响河流水质,现有数学预测模型很难将这些因素都考虑进去,而人工神经网络高度的非线性映射能力正好弥补了传统预测模型的不足。本文主要构建BP神经网络模型预测阜新柳河水质中5日生物耗氧量(biology oxygen demand, BOD5)短期浓度变化。通过插值、模型训练、确证与测试,得到一个可行的客观预测模型,反映阜新柳河水质中的BOD5浓度变化情况。结果表明:该模型有较好的泛化能力,可以很好地定量预测出污染物的短期浓度值。
关 键 词: 环境工程学;BP神经网络;河流水质;预测
Title: Application of BP nerural network in predicting the water quality in Liuhe River of Fuxin
Author: CHANG Huan, LIU Zhibin, TONG Yingwei
Organization: College of Resource and Environment Engineering, Liaoning Technical University
Abstract: In practice, there are many factors that influence the water quality, and the existing mathematic model of water quality prediction is very difficult to consider all the factors. But the high nonlinear mapping ability of artificial neural network just complements the deficiency of the traditional prediction model. This article mainly applies BP neural network to predict the short-term BOD5 concentration tendency of LH-Changtuozi section. By interpolation, training, verifying and testing of the model, obtains a feasible and objective prediction model, which reflects the short-term BOD5 concentration tendency of the water quality in Liuhe River of Fuxin. The result shows that the model has a better generalization ability that can predict the short-term pollutant concentration quantitatively.
Key words: environmental engineering; BP neural network; river water quality; prediction
发表期数: 2008年12月第16期
引用格式: 常欢,刘志斌,童英伟. BP神经网络在阜新柳河水质预测中的应用[J]. 中国科技论文在线精品论文,2008,1(16):1828-1832.
 
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