Prediction of FeO content in sinter based on improved BP neural network

ZHANG Xuefeng, ZHANG Gonghui, ZHOU Zhiyuan, WEN Yixin, ZHANG Qiaoyu, LIU Shengge

Metallurgical Industry Automation ›› 2023, Vol. 47 ›› Issue (3) : 100-108.

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Metallurgical Industry Automation ›› 2023, Vol. 47 ›› Issue (3) : 100-108. DOI: 10. 3969 / j. issn. 1000-7059. 2023. 03. 011
Artificial intelligence technique

Prediction of FeO content in sinter based on improved BP neural network

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 47(3): 100-108 https://doi.org/10. 3969 / j. issn. 1000-7059. 2023. 03. 011

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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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