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	Oxygen consumption prediction with long short-term time-series network
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doi:10. 3969 / j. issn. 1000-7059. 2022. 03. 004

Oxygen consumption prediction with long short-term time-series network

CHANG Tingting, ZHANG Yanyan, CHE Gelegen, LIU Hongshen

Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (3) : 25-33.

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Metallurgical Industry Automation ›› 2022, Vol. 46 ›› Issue (3) : 25-33. DOI: 10. 3969 / j. issn. 1000-7059. 2022. 03. 004

Artificial intelligence technique

Oxygen consumption prediction with long short-term time-series network

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2022, 46(3): 25-33 https://doi.org/10. 3969 / j. issn. 1000-7059. 2022. 03. 004

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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.
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Editor and Publisher: CISRI Boyuan Publishing Co.,Ltd.

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Received	Published
2021-10-14	2022-05-25
Issue Date
2024-02-11

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