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学习率有限监督调整BP网络在黄河下游水质预测中的应用
引用本文:李成林,李鸿雁,鲍新华,苗立峰. 学习率有限监督调整BP网络在黄河下游水质预测中的应用[J]. 东北水利水电, 2008, 26(12)
作者姓名:李成林  李鸿雁  鲍新华  苗立峰
作者单位:1. 水利部松辽水利委员会,吉林,长春,130021
2. 吉林大学环境与资源学院,吉林,长春,130026
摘    要:本文采用学习率有限监督调整BP网络,对黄河干流小浪底至高村河道间主要水质污染物指标NH3-N和COD的传播输移规律进行了模拟和预测,历史数据模拟和预测检验结果的精度评价表明,该方法模拟与预测精度可靠,能够为生产实践中的预测预报提供依据.

关 键 词:学习率  有限监督调整  BP网络  水质预测

Application of regulating BP networks by learning rate limited supervising method to water quantity forecast at lower Yellow River
LI Cheng-lin,LI Hong-Yan,BAO Xin-hua,MIAO Li-feng. Application of regulating BP networks by learning rate limited supervising method to water quantity forecast at lower Yellow River[J]. Water Resources & Hydropower of Northeast China, 2008, 26(12)
Authors:LI Cheng-lin  LI Hong-Yan  BAO Xin-hua  MIAO Li-feng
Abstract:The paper simulates and forecasts the transmission of main water pollution index including NH3-N and COD in the channel between Xiaolangdi dam and Gaochun in the Yellow River with BP networks based on limited supervising method to learning rate regulating.The results of simulating and forecasting show that the method is credible and could provide reference for practical application.
Keywords:Learning rate  limited supervising to regulating  networks  water quality forecast  
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