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The Prediction of the Gas Utilization Ratio based on TS Fuzzy Neural Network and Particle Swarm Optimization.

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第一作者： Sen,Zhang

第一单位： School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhangsen@ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhangsen@ustb.edu.cn.

作者： Sen,Zhang ^[1] ; Haihe,Jiang ^[2] ; Yixin,Yin ^[3] ; Wendong,Xiao ^[4] ; Baoyong,Zhao ^[5]

作者单位： School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhangsen@ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhangsen@ustb.edu.cn. ^[1] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. g20158511@xs.ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. g20158511@xs.ustb.edu.cn. ^[2] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. yyx@ies.ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. yyx@ies.ustb.edu.cn. ^[3] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. wdxiao@ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. wdxiao@ustb.edu.cn. ^[4] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhby@ustb.edu.cn.;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. zhby@ustb.edu.cn. ^[5]

关键词 TS fuzzy neural network (TS-FNN)blast furnace (BF)data-driven model gas utilization ratio particle swarm optimization (PSO) algorithm

DOI 10.3390/s18020625

PMID 29461469

发布时间 2018-11-13

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