标题:Coking flue temperature RBF neural network model
作者:Li, Zhang ;Xu, Qingyang ;Jin, Shibo ;Li, Jiangning
作者机构:[Li, Zhang ;Xu, Qingyang ] School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, Weihai, China;[Li, Jiangning ] 更多
会议名称:27th Chinese Control and Decision Conference, CCDC 2015
会议日期:23 May 2015 through 25 May 2015
来源:Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
出版年:2015
页码:5885-5887
DOI:10.1109/CCDC.2015.7161862
关键词:Coking Flue; Model; Radial Basis Function Neural-Networks (RBF NN); Temperature
摘要:A modified radial basis function neural networks (RBFNN) model is proposed to solve the control problem that the flue temperature in coke oven usually has the properties of high nonlinearity, large time-delay and multiple disturbances. The proposed method adopts K-means to initialize hidden layer and center parameters of the network. Finally, the production and energy consumption model are built. © 2015 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945560344&doi=10.1109%2fCCDC.2015.7161862&partnerID=40&md5=7698171a01e35ac3a851febc79e9fcba
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