Intelligent Multivariable Modeling of Blast Furnace Molten Iron Quality Based on Dynamic AGA-ANN and PCA

钢铁研究学报, 2015, 22(6): 487-495.

Meng YUAN ^1, , Ping ZHOU ^2, , Ming-liang LI ^3, , Rui-feng LI ^4, , Hong WANG ^5, , Tian-you CHAI ^6,

1.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,Liaoning,China

2.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,Liaoning,China

3.Automation Studio of Iron Making Factory,Liuzhou Iron and Steel Company,Liuzhou 545002,Guangxi,China

4.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,Liaoning,China

5.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,Liaoning,China;Control System Center,University of Manchester,Manchester M60,1QD,UK

6.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,Liaoning,China

基金项目: IAPI Fundamental Research Funds (2013ZCX02-09) Fundamental Research Funds for the Central Universities of China (N130508002,N130108001) Item Sponsored by National Natural Science Foundation of China (61290323,61333007,614730646) National High-tech Research and Development Program of China (2015AA043802)

Intelligent Multivariable Modeling of Blast Furnace Molten Iron Quality Based on Dynamic AGA-ANN and PCA

Keywords： molten iron quality

参考文献

[1]	Y. Wang;J. Zhou;S. Wang .A hybrid neural network model for predicting silicon content[J].Elektrotechnik und Informationstechnik,2000(1):18-23.

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Intelligent Multivariable Modeling of Blast Furnace Molten Iron Quality Based on Dynamic AGA-ANN and PCA

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