用叠加集成学习和SHapley加性解释分析预测钢包炉合金元素产量

IF 2.5 3区材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING

steel research international Pub Date : 2025-10-02 DOI:10.1002/srin.70147

Zi-cheng Xin, Jiang-shan Zhang, Jun-guo Zhang, Qing Liu

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引用次数: 0

摘要

封面图片来自于《利用叠加集成学习和SHapley加性解释分析预测钢包炉合金元素产量》一文，辛自成等人，https://doi.org/10.1002/srin.202500040。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Predicting the Alloying Element Yield in Ladle Furnace Using Stacking Ensemble Learning and SHapley Additive exPlanations Analysis

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Predicting the Alloying Element Yield in Ladle Furnace Using Stacking Ensemble Learning and SHapley Additive exPlanations Analysis

The cover image is based on the article Predicting the Alloying Element Yield in Ladle Furnace Using Stacking Ensemble Learning and SHapley Additive exPlanations Analysis, Zicheng Xin et al., https://doi.org/10.1002/srin.202500040.

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来源期刊

steel research international 工程技术-冶金工程

CiteScore

3.30

自引率

18.20%

发文量

319

审稿时长

1.9 months

期刊介绍： steel research international is a journal providing a forum for the publication of high-quality manuscripts in areas ranging from process metallurgy and metal forming to materials engineering as well as process control and testing. The emphasis is on steel and on materials involved in steelmaking and the processing of steel, such as refractories and slags. steel research international welcomes manuscripts describing basic scientific research as well as industrial research. The journal received a further increased, record-high Impact Factor of 1.522 (2018 Journal Impact Factor, Journal Citation Reports (Clarivate Analytics, 2019)). The journal was formerly well known as "Archiv für das Eisenhüttenwesen" and "steel research"; with effect from January 1, 2006, the former "Scandinavian Journal of Metallurgy" merged with Steel Research International. Hot Topics: -Steels for Automotive Applications -High-strength Steels -Sustainable steelmaking -Interstitially Alloyed Steels -Electromagnetic Processing of Metals -High Speed Forming