Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN

被引:0
|
作者
Li, Yaning [1 ]
Wang, Xuelei [1 ]
Tan, Jie [1 ]
机构
[1] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
关键词
coking; desulfurization and denitrification; K-means; clustering; RBFNN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes an efficient modeling method based on the history running data of a coking chemical company flue gas desulfurization and denitrification integration device: construct data set according to the technology principle and corresponding data preprocessing method; make division of working conditions and reduce the sample set by means of K-Means clustering method; realize static modeling for each of the conditions based on RBF neural network The simulation results show the effectiveness of the method and the artificial neural network model.
引用
收藏
页码:71 / 76
页数:6
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