Prediction model of BOF end-point temperature and carbon content based on PCA-GA-BP neural network
Metall. Res. Technol., 119 6 (2022) 605
Published online: 2022-10-20
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
188 1009 (2026)
https://doi.org/10.1007/978-3-032-00968-5_83
Dynamic endpoint forecasting in BOF process: a JITL-BP approach integrated with steel grade coding
Xiao-feng Qiu, Jian Yang, Maohui Zou, Han Sun and Yun-tong LiMetallurgical Research & Technology 123 (1) 118 (2026)
https://doi.org/10.1051/metal/2025120
End-point Temperature Prediction of Converter Steelmaking Based on Key Feature Amplification and Grey Wolf Algorithm Improved Affinity Propagation Clustering
Yuanzheng Guo, Dongfeng He, Xiaolong Li and Kai FengMetallurgical and Materials Transactions B 56 (2) 2047 (2025)
https://doi.org/10.1007/s11663-025-03472-4
Prediction of BOF endpoint carbon content and temperature via CSSA-BP neural network model
Xiao-feng Qiu, Run-hao Zhang and Jian YangJournal of Iron and Steel Research International 32 (3) 578 (2025)
https://doi.org/10.1007/s42243-024-01369-1
Endpoint carbon content and temperature prediction model in BOF steel-making based on dynamic feature partitioning − weighted ensemble learning
Haodong Wang, Hui Liu, Fu Gang Chen, Heng Li and Xiao Jun XueMetallurgical Research & Technology 122 (3) 312 (2025)
https://doi.org/10.1051/metal/2025026
Steel Scrap Yield Prediction in Basic Oxygen Steelmaking Based on Random Forest and Neural Networks
Chaojie Zhang, Yi Nian, Liqiang Zhang, Jinjun Cheng and Zhen Zhangsteel research international 96 (7) (2025)
https://doi.org/10.1002/srin.202400713
A hybrid approach combining data-driven and mathematical models to predict the endpoint carbon content and temperature in BOF
Yaobin Hou, Jianhua Liu, Yang He, Jing Yuan, Yong Shuai, Renhui Luo and Zhong ZhengMetallurgical Research & Technology 122 (5) 515 (2025)
https://doi.org/10.1051/metal/2025059
Evaluation of Feature Selection Methods for Oxygen Supply Prediction in BOF Steelmaking
Yujie Liu, Xinggan Zhang, Qian Peng, Yunjin Xia, Haichuan Wang and Aijun DengISIJ International 65 (10) 1454 (2025)
https://doi.org/10.2355/isijinternational.ISIJINT-2025-165
Factor analysis and machine learning for predicting endpoint carbon content in converter steelmaking
Lihua Zhao, Shuai Yang, Yongzhao Xu, Zhongliang Wang, Xin Liu and Yanping BaoInternational Journal of Minerals, Metallurgy and Materials 32 (10) 2469 (2025)
https://doi.org/10.1007/s12613-025-3145-3
Soft sensor model for endpoint carbon content and temperature in BOF steelmaking based on just-in-time learning with multilayer structure preservation and sparse information enhancement
Yunke Su, Hui Liu, Fugang Chen, Jianxun Liu, Heng Li and Xiaojun XueIronmaking & Steelmaking: Processes, Products and Applications 52 (9) 1026 (2025)
https://doi.org/10.1177/03019233241292384
Application of neural network in steelmaking and continuous casting: A review
Chaojie ZhangIronmaking & Steelmaking: Processes, Products and Applications 52 (9) 1254 (2025)
https://doi.org/10.1177/03019233241301144
A Dynamic Control Model of Basic Oxygen Furnace Last Blowing Stage Based on Improved Conditional Generative Adversarial Network
Qianqian Dong, Min Li, Shuaijie Hu, Yan Yu and Maoqiang GuMetallurgical and Materials Transactions B 56 (1) 638 (2025)
https://doi.org/10.1007/s11663-024-03358-x
A hybrid PCA-SOA-BP approach for predicting converter endpoint temperature in steelmaking
Zhiwen Wang, Fuhua Fan, Weli Xu, Yanping Bao and Lihua ZhaoMetallurgical Research & Technology 121 (6) 603 (2024)
https://doi.org/10.1051/metal/2024085
BOF steelmaking endpoint carbon content and temperature soft sensor model based on supervised weighted local structure preserving projection
YunKe Su, Hui Liu, FuGang Chen, JianXun Liu, Heng Li and XiaoJun XueHigh Temperature Materials and Processes 43 (1) (2024)
https://doi.org/10.1515/htmp-2024-0030
Multi-Output Prediction Model for Basic Oxygen Furnace Steelmaking Based on the Fusion of Deep Convolution and Attention Mechanisms
Qianqian Dong, Min Li, Shuaijie Hu, Yan Yu and Maoqiang GuMetals 14 (7) 773 (2024)
https://doi.org/10.3390/met14070773
Optimisation of an oxygen supply prediction model based on the K-nearest neighbours (KNN) algorithm using the Pearson correlation coefficient
Qian Peng, DingDong Fan, XiaoBin Zhou, Yunjin Xia and YuJie LiuIronmaking & Steelmaking: Processes, Products and Applications (2024)
https://doi.org/10.1177/03019233241306282
Life cycle assessment of carbon footprint in dual-phase automotive strip steel production
Xiaoqing Fang, Wenqiang Sun, Weidong Li and Guangyu MaEnvironmental Science and Pollution Research (2024)
https://doi.org/10.1007/s11356-024-32940-8
State of the art in applications of machine learning in steelmaking process modeling
Runhao Zhang and Jian YangInternational Journal of Minerals, Metallurgy and Materials 30 (11) 2055 (2023)
https://doi.org/10.1007/s12613-023-2646-1
Prediction and Optimization of Matte Grade in ISA Furnace Based on GA-BP Neural Network
Luo Zhao, Daofei Zhu, Dafang Liu, et al.Applied Sciences 13 (7) 4246 (2023)
https://doi.org/10.3390/app13074246