Data-driven modeling of hot continuous rolling thickness based on stacking ensemble learning

WANG Xiangyang, DING Jingguo, LIU Hongzhi, HU Dewei, LI Xu, ZHANG Dianhua

Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (1) : 22-34.

PDF(4172 KB)
Welcome to visit Metallurgical Industry Automation,
PDF(4172 KB)
Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (1) : 22-34. DOI: 10.3969/j.issn.1000-7059.20250051

Data-driven modeling of hot continuous rolling thickness based on stacking ensemble learning

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(1): 22-34 https://doi.org/10.3969/j.issn.1000-7059.20250051

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(4172 KB)

Accesses

Citation

Detail

Sections
Recommended

/