A sliding-window smooth support vector regression model for nonlinear blast furnace system

Steel Research International

Volumn 82, Issue 3, 2011, Pages 169-179

  Jian, Ling ^a,b   Gao, Chuanhou ^c   Xia, Zunquan ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b CHINA UNIVERSITY OF PETROLEUM   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Predictive Model; Silicon Content in Blast Furnace Hot Metal; Sliding window; Smooth Support Vector Regression

Indexed keywords

BLAST FURNACE SYSTEMS; CHANGING TRENDS; COMPUTATIONAL SPEED; DATA-DRIVEN; HOT METAL; INDUSTRIAL REACTORS; NUMERICAL PREDICTIONS; ON-LINE SERVICE; PREDICTION MODEL; PREDICTIVE MODELS; SILICON CONTENTS; SLIDING-WINDOW; SMOOTH SUPPORT VECTOR REGRESSION; SMOOTH SUPPORT VECTOR REGRESSIONS; TEST DATA; THERMAL STATE; TREND PREDICTION;

BLAST FURNACES; COKE FUELED FURNACES; FORECASTING; GAS BURNERS; MATHEMATICAL MODELS; METAL REFINERIES; METALLURGICAL FURNACES; PREDICTIVE CONTROL SYSTEMS; REGRESSION ANALYSIS; VECTORS;

FURNACES;

EID: 79952205822     PISSN: 16113683     EISSN: None     Source Type: Journal    
DOI: 10.1002/srin.201000082     Document Type: Article

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