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Ironmaking & Steelmaking

Processes, Products and Applications

Volume 50, 2023 - Issue 2

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The strength prediction model of iron ore sinter based on an artificial neural network

Qingyun Huanga School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing, People’s Republic of ChinaView further author information

ZengHao Liua School of Metallurgy and Materials Engineering, Chongqing University of Science and Technology, Chongqing, People’s Republic of ChinaView further author information

Zhongci Liub School of Materials Science and Engineering, Chongqing University, Chongqing, People’s Republic of ChinaView further author information

Xuewei Lvb School of Materials Science and Engineering, Chongqing University, Chongqing, People’s Republic of ChinaCorrespondence[email protected]
View further author information

Pages 159-166 | Received 03 Feb 2022, Accepted 27 Jun 2022, Published online: 31 Jul 2022

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https://doi.org/10.1080/03019233.2022.2096991
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