Study on crystallizing phosphorus removal system based on back-propagation neural network
Journal Title: Science Paper Online - Year 2009, Vol 4, Issue 5
Abstract
A BP neural network model was developed for the crystallizing phosphorus removal process. Results indicated that the BP model showed a good convergence performance during training, and the model predictions of outflow phosphourus concentration and phosphourus removal rate coincided well with the measured values, with the relative error almost within ±5% (except at some individual points). The model could thus provide a new tool for the simulation and control of the crystallizing phosphorus removal system.
Authors and Affiliations
Rui Wan, Xiwu Lu, Gangcan Zhu , Yifeng Wu
Keywords
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