| Application of BP NN and RBF NN in Modeling Activated Sludge System |
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| 作者姓名： | 王维斌 郑丕谔 李金勇 |
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| 作者单位： | SchoolofManagement,TianjinUniversity,Tianjin300072,China |
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| 摘 要： | Based on the operation data from a certain wastewater treatment plant(WWTP) in northeast China,the models of back propagation neural network ( BP NN ) and radial basis function neural network ( RBF NN ) have been designed respectively and the ability of convergence and generalization has been analyzed separately.As for BP NN, the effects of numbers of layers and nodes have been studied ; as for RBF NN, the influences of the number of nodes and the RBF‘s width have been studied. It is concluded that BP NN has converged much slowly in comparison with RBF NN. The conclusion that the RBF NN is suitable for modeling activated sludge system has been drawn. An automatically optimum design program for RBF NN has been developed, through which the RBF NN model of traditional activated sludge system has been established.
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| 关 键 词： | 废水处理 活性污泥系统 BP神经网络 径向基函数神经网络 建模方法 |
Application of BP NN and RBF NN in Modeling Activated Sludge System |
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| WANG Wei-bin,ZHENG Pi-e,LI Jin-yong.Application of BP NN and RBF NN in Modeling Activated Sludge System[J].Transactions of Tianjin University,2003,9(3):235-240. |
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| Authors: | WANG Wei-bin ZHENG Pi-e LI Jin-yong |
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| Abstract: | Based on the operation data from a certain wastewater treatment plant(WWTP) in northeast China, the models of back propagation neural network(BP NN) and radial basis function neural network(RBF NN) have been designed respectively and the ability of convergence and generalization has been analyzed separately. As for BP NN, the effects of numbers of layers and nodes have been studied; as for RBF NN, the influences of the number of nodes and the RBF′s width have been studied. It is concluded that BP NN has converged much slowly in comparison with RBF NN. The conclusion that the RBF NN is suitable for modeling activated sludge system has been drawn. An automatically optimum design program for RBF NN has been developed, through which the RBF NN model of traditional activated sludge system has been established. |
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| Keywords: | back propagation neural network(BP NN) radial basis function neural network(RBF NN) modeling activated sludge |
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