Proposing a machine learning approach to analyze and predict basic high-temperature properties of iron ore fines and its factors

Qing-ke Sun, Yao-zu Wang, Jian-liang Zhang, Zheng-jian Liu, Le-le Niu, Chang-dong Shan, Yun-fei Ma

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Journal of Iron and Steel Research International ›› 2024, Vol. 31 ›› Issue (5) : 1082-1094. DOI: 10.1007/s42243-023-01096-z

Proposing a machine learning approach to analyze and predict basic high-temperature properties of iron ore fines and its factors

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 31(5): 1082-1094 https://doi.org/10.1007/s42243-023-01096-z

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