BTP Prediction of Sintering Process by Using Multiple Models

摘要：

　　Burning Through Point(BTP)state is a very important parameter for sintering process.A lot of researches for the modeling of BTP have been made,but the precise model is not very easy to find,so the prediction based on modeling cannot be carried out effectively.This paper presents fuzzy neural network structure and multiple model algorithms which can process incomplete,ambiguous information and gives an effective model for sintering process.The simulation result is made to show the effectiveness of the proposed algorithm.

关键词： BTP Fuzzy Neural Network Multiple Model Algorithm Sintering Process

作者: Jialin Wang Xiaoli Li Yang Li Kang Wang

作者单位: School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing International Studies,Communication University of China(CUC),Beijing,100024

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 4008-4012

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）