文章基本信息

标题：Effluent Quality Prediction of Wastewater Treatment System Based on Small-world ANN
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作者：Zhang, Ruicheng ; Hu, Xulei
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2012
卷号：7
期号：9
页码：2136-2143
DOI：10.4304/jcp.7.9.2136-2143
语种：English
出版社：Academy Publisher
摘要：n order to provide a tool for predicting wastewater treatment performance and form a basis for controlling the operation of the process, a NW multi-layer forward small world artificial neural networks soft sensing model is proposed for the waste water treatment processes. The input and output variables of the network model were determined according to the waste water treatment system. The multi-layer forward small world artificial neural networks model was built, and the hidden layer structure of the network model was studied. The results of model calculation show that the predicted value can better match measured value, playing an effect of simulating and predicting and be able to optimize the operation status. The establishment of the predicting model provides a simple and practical way for the operation and management in wastewater treatment plant, and has good research and engineering practical value.
关键词：NW small-world networks;multi-layer forward neural networks;wastewater plant;modeling;wastewater treatment