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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 48, 2021 - Issue 3
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Research Articles

Sulphide capacity prediction of CaO–SiO2–MgO–Al2O3 slag system by using regularized extreme learning machine

Zi-Cheng Xina State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of ChinaView further author information
,
Jiang-Shan Zhanga State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of ChinaView further author information
,
Wen-Hui Lina State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of ChinaView further author information
,
Jun-Guo Zhangb Tangshan Branch, Hebei Iron and Steel Co., Ltd., Tangshan, Hebei, People’s Republic of ChinaView further author information
,
Yu Jinb Tangshan Branch, Hebei Iron and Steel Co., Ltd., Tangshan, Hebei, People’s Republic of ChinaView further author information
,
Jin Zhengb Tangshan Branch, Hebei Iron and Steel Co., Ltd., Tangshan, Hebei, People’s Republic of ChinaView further author information
,
Jia-Feng Cuib Tangshan Branch, Hebei Iron and Steel Co., Ltd., Tangshan, Hebei, People’s Republic of ChinaView further author information
&
Qing Liua State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Pages 275-283 | Received 24 Feb 2020, Accepted 04 May 2020, Published online: 08 Jun 2020

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