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神经网络模型在预测BAF出水水质中的应用
引用本文:王劼,孙浩诚,胡筱敏.神经网络模型在预测BAF出水水质中的应用[J].给水排水,2011(Z1).
作者姓名:王劼  孙浩诚  胡筱敏
作者单位:东北大学资源与土木工程学院;国电东北环保产业集团有限公司;
摘    要:采用BP神经网络模型对沈阳仙女河污水处理厂曝气生物滤池出水水质进行预测,将运行数据分为训练样本和测试样本,对神经网络模型的预测值和实测值进行t检验发现两者之间无显著差异,结果表明,神经网络模型可以对BAF处理系统的出水水质预测及运行管理提供参考。

关 键 词:神经网络  曝气生物滤池  出水水质  

Study on the application of artifical neural networks in biological aerated filter
Wang Jie,Sun Haocheng,Hu Xiaomin.Study on the application of artifical neural networks in biological aerated filter[J].Water & Wastewater Engineering,2011(Z1).
Authors:Wang Jie    Sun Haocheng  Hu Xiaomin
Affiliation:Wang Jie1,2,Sun Haocheng2,Hu Xiaomin1 (1.School of Resources & Civil Engineering,Northeastern University,Shenyang 110004,China,2.Guodian Northeastern Environmental Protection Industry Group Co.,Ltd.,China)
Abstract:Using BP neural network to predict the effluent water quality of BAF system.We divided the operational data into training data and test data.After BP neural network trained,we utilized t-paired test to analyze the predict value and real value.The test results indicated that the predict value and real value had no significant difference.The BP Neural Networks is an useful simulation too1 for predicting water quality and guiding the management operation of BAF system.
Keywords:Biological aerated filter  BP Neural Networks  Effluent water quality  
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