Prediction method for silicon content in hot metal based on fusion of probabilistic distributions and graph convolutional networks

KONGLiyuan , YANGchunjie , YIN Xianwei , JIA Xiufeng , HUANGXueZhong

Metallurgical Industry Automation ›› 2025, Vol. 49 ›› Issue (3) : 119-127.

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Metallurgical Industry Automation ›› 2025, Vol. 49 ›› Issue (3) : 119-127. DOI: 10.3969/j.issn.1000-7059.2025.03.20250124
Artificial intelligence technique

Prediction method for silicon content in hot metal based on fusion of probabilistic distributions and graph convolutional networks

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 49(3): 119-127 https://doi.org/10.3969/j.issn.1000-7059.2025.03.20250124

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Bimonthly, Started in 1976
CN 11-2067/TF
ISSN 1000-7059
Competent Authority: China lron & Steel Association
Sponsor: Automation Research and Design Institute of Metallurgical Industry Co., Ltd.
CISRI Boyuan Publishing Co.,Ltd.
Editor and Publisher: CISRI Boyuan Publishing Co.,Ltd.
Postal Code: 2-321
Foreign Distributed Code: BM5548
Address: No.76 Xueyuan Nanlu, Beijing 100081, China
Tel: 010-62182720, 62181013
www.yjzdh.com, www.chinamet.cn
E-mail: mia@chinamet.cn
International publication Name Code: YEZIES
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