| 序批式活性污泥系统神经网络水质模型 |
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| 引用本文： | 牛林,张伟成. 序批式活性污泥系统神经网络水质模型[J]. 成都大学学报(自然科学版), 2008, 27(4) |
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| 作者姓名： | 牛林 张伟成 |
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| 作者单位： | 成都大学,电子信息工程学院,四川,成都,610106;成都市污水处理厂,四川,成都,610061 |
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| 基金项目： | 成都市科技局科技攻关资助项目 |
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| 摘 要： | 介绍用神经网络建立过程软测量的模式,讨论了基于神经网络的非线性模型结构和一种BP改进算法,并对污水处理过程的出水水质软测量进行了研究.结果表明,神经网络法能够比较精确地建立起非线性过程的模型,且具有简明、灵活的特点.
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| 关 键 词： | 污水处理 软测量技术 活性污泥法 水质模型 |
Modeling Study of SBR Process Based on Artificial Neural Network |
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| NIU Lin,ZHANG Weicheng. Modeling Study of SBR Process Based on Artificial Neural Network[J]. Journal of Chengdu University (Natural Science), 2008, 27(4) |
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| Authors: | NIU Lin ZHANG Weicheng |
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| Affiliation: | NIU Lin1,ZHANG Weicheng2(1.College of Electronic , Information Engineering,Chengdu University,Chengdu 610106,China,2.Chengdu Sewage Treatment Plant,Chengdu 610061,China) |
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| Abstract: | The soft measuring method of a sewage treatment process was introduced and a back-propagation(BP) artificial neural networks(ANN) water quality model was developed for sequencing batch reactor activated sludge system (SBR).By comparing the estimation results of the model with the test data,this model was accurate and flexible. |
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| Keywords: | water quality model SBR process sewage treatment technique of soft measurement |
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