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

	Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN
	Li YN(李亚宁); Wang XL; Tan J
	2016-06
会议名称	15th IEEE/ACIS International Conference on Computer and Information Science
页码	71-76
会议日期	June 26-29, 2016
会议地点	Okayama
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.
关键词	Desulfurization And Denitrification Kmeans Clustering Rbfnn
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21180
专题	中科院工业视觉智能装备工程实验室_工业智能技术与系统
作者单位	中国科学院自动化研究所
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li YN,Wang XL,Tan J. Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN[C],2016:71-76.