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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 37, 2010 - Issue 6
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Articles

Prediction and control for silicon content in pig iron of blast furnace by integrating artificial neural network with genetic algorithm

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Pages 458-463 | Published online: 18 Jul 2013

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Xiao Fu, Junyi Han, Michael Castle & Kuo Cao. (2023) Digital twin-driven vibration amplitude simulation for condition monitoring of axial blowers in blast furnace ironmaking. Systems Science & Control Engineering 11:1.
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Qiang Zhao, Yaxin Huo, Meng Li & Yinghua Han. (2022) Data-driven reliable prediction of production indicators in the blast furnace using TS fuzzy neural network based on bat algorithm. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-22.
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Hongyang Li, Xin Li, Xiaojie Liu, Xiangping Bu, Hongwei Li & Qing Lyu. (2022) Prediction of blast furnace parameters using feature engineering and Stacking algorithm. Ironmaking & Steelmaking 49:3, pages 283-296.
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Yaguang Mei, Shusen Cheng, Qun Niu, Wenxuan Xu & Junliang Ge. (2020) A review on transfer mechanism and influence factors of silicon in blast furnace. Ironmaking & Steelmaking 47:3, pages 246-262.
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Wei Chen, Fanbei Kong, Baoxiang Wang & Yuhan Li. (2019) Application of grey relational analysis and extreme learning machine method for predicting silicon content of molten iron in blast furnace. Ironmaking & Steelmaking 46:10, pages 974-979.
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B.-X. Wang, Y.-Z. Zhang, W. Chen, Y. Chen & H.-J. Zhang. (2017) Charging composition and structure optimisation in the sintering process (Part I). Ironmaking & Steelmaking 44:1, pages 52-58.
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B.-X. Wang, W. Chen, Y.-Z. Zhang, Y. Chen & Y.-H. Zhu. (2017) Design and optimisation of charging ingredients and structure in an ironmaking system (Part II). Ironmaking & Steelmaking 44:1, pages 59-65.
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Articles from other publishers (34)

Xiao-jie Liu, Yu-jie Zhang, Xin Li, Zhi-feng Zhang, Hong-yang Li, Ran Liu & Shu-jun Chen. (2023) Prediction for permeability index of blast furnace based on VMD–PSO–BP model. Journal of Iron and Steel Research International.
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Kayal Lakshmanan, Aurash Karimi, Alex Carr, Philippe Wauters, Michael Auinger, Cameron Pleydell-Pearce & Cinzia Giannetti. (2023) A Hybrid Modelling Approach Based on Deep Learning for the Prediction of the Silicon Content in the Blast Furnace. Procedia Computer Science 225, pages 2204-2213.
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Yiran Liu, Huiming Zhang & Yansong Shen. (2022) A data-driven approach for the quick prediction of in-furnace phenomena of pulverized coal combustion in an ironmaking blast furnace. Chemical Engineering Science 260, pages 117945.
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Yurii S. Semenov, Yevhen I. Shumelchyk, Viktor V. Horupakha, Igor Y. Semion, Sergii V. Vashchenko, Oleksandr Y. Khudyakov, Igor V. Chychov, Iryna H. Hulina & Rostyslav H. Zakharov. (2022) Development and Implementation of Decision Support Systems for Blast Smelting Control in the Conditions of PrJSC “Kamet-Steel”. Metals 12:6, pages 985.
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Junpeng Li, Changchun Hua, Yana Yang & Xinping Guan. (2022) Data-Driven Bayesian-Based Takagi–Sugeno Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in Blast Furnace. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52:2, pages 1087-1099.
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Dewen Jiang, Xinfu Zhou, Zhenyang Wang, Kejiang Li & Jianliang Zhang. (2022) Predictive modeling of the hot metal silicon content in blast furnace based on ensemble method. Metallurgical Research & Technology 119:5, pages 515.
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Jianqi Ruan, Bob Nooning, Ivan Parkes, Wal Blejde, George Chiu & Neera Jain. (2022) A Training-Free Data-Driven Method for Input-Output Modeling of Complex Processes. IFAC-PapersOnLine 55:37, pages 92-98.
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Junpeng Li, Xiaofei Wei, Changchun Hua, Yana Yang & Limin Zhang. (2022) Double-hyperplane fuzzy classifier design for tendency prediction of silicon content in molten iron. Fuzzy Sets and Systems 426, pages 163-175.
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Junpeng Li, Changchun Hua & Yana Yang. (2021) A Novel Multiple-Input–Multiple-Output Random Vector Functional-Link Networks for Predicting Molten Iron Quality Indexes in Blast Furnace. IEEE Transactions on Industrial Electronics 68:11, pages 11309-11317.
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Junpeng Li, Changchun Hua, Junlei Qian & Xinping Guan. (2021) Low-rank based Multi-Input Multi-Output Takagi-Sugeno fuzzy modeling for prediction of molten iron quality in blast furnace. Fuzzy Sets and Systems 421, pages 178-192.
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Ana P. Miranda Diniz, Klaus Fabian Côco, Flávio S. Vitorino Gomes & José L. Félix Salles. (2021) Forecasting Model of Silicon Content in Molten Iron Using Wavelet Decomposition and Artificial Neural Networks. Metals 11:7, pages 1001.
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Junpeng Li, Changchun Hua, Yana Yang & Xinping Guan. (2021) A Novel MIMO T–S Fuzzy Modeling for Prediction of Blast Furnace Molten Iron Quality With Missing Outputs. IEEE Transactions on Fuzzy Systems 29:6, pages 1654-1666.
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Junpeng Li, Changchun Hua, Yana Yang, Limin Zhang & Xinping Guan. (2021) Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace. Knowledge-Based Systems 219, pages 106906.
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Yu. S. Semenov, A. L. Podkorytov, E. I. Shumelchik, V. V. Horupakha, I. Yu. Semion & A. Yu. Orobtsev. (2021) Decision Support System for Controlling Thermal State of Blast Furnace Smelting. Steel in Translation 51:4, pages 261-266.
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Junpeng Li, Changchun Hua & Yana Yang. (2021) Output Space Transfer-Based MIMO RVFLNs Modeling for Estimation of Blast Furnace Molten Iron Quality With Missing Indexes. IEEE Transactions on Instrumentation and Measurement 70, pages 1-10.
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Xiaoli Su, Shaolun Sun, Sen Zhang, Yixin Yin & Wendong Xiao. (2020) Improved multi-layer online sequential extreme learning machine and its application for hot metal silicon content. Journal of the Franklin Institute 357:17, pages 12588-12608.
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Shihua Luo, Zian Dai, Tianxin Chen, Hongyi Chen & Ling Jian. (2020) A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process. Applied Intelligence 50:7, pages 1997-2008.
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Miha Kovačič & Uroš Župerl. (2020) Genetic programming in the steelmaking industry. Genetic Programming and Evolvable Machines 21:1-2, pages 99-128.
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Ling Sun, Linzi Yin, Zhaohui Jiang, Yuyin Guan & Xuemei Xu. (2020) Research on prediction classification and compensation for silicon contents in blast furnace based on ridge regression. IOP Conference Series: Materials Science and Engineering 768:7, pages 072062.
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Shihua Luo & Tianxin Chen. (2020) Two Derivative Algorithms of Gradient Boosting Decision Tree for Silicon Content in Blast Furnace System Prediction. IEEE Access 8, pages 196112-196122.
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Xinmin Zhang, Manabu Kano & Shinroku Matsuzaki. (2019) Ensemble pattern trees for predicting hot metal temperature in blast furnace. Computers & Chemical Engineering 121, pages 442-449.
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Bashista Kumar Mahanta & Nirupam Chakraboti. 2019. Optimization in Industry. Optimization in Industry 211 252 .
Kexin Zhang, Min Wu & Jianqi An. (2018) An Intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition. An Intelligent Selection Strategy for Burden Distribution Based on Classification of Blast Furnace Condition.
Xiaoli Su, Sen Zhang, Yixin Yin, Yuanzhe Hui & Wendong Xiao. (2018) Prediction of Hot Metal Silicon Content for Blast Furnace Based on Multi-Layer Online Sequential Extreme Learning Machine. Prediction of Hot Metal Silicon Content for Blast Furnace Based on Multi-Layer Online Sequential Extreme Learning Machine.
Yijing Fang, Zhaohui Jiang, Weihua Gui, Zhipeng Chen & Dong Pan. (2018) ASFC-based DNN Modeling for Prediction of Silicon Content in Blast Furnace Ironmaking. ASFC-based DNN Modeling for Prediction of Silicon Content in Blast Furnace Ironmaking.
Junpeng Li, Changchun Hua, Yana Yang & Xinping Guan. (2018) Bayesian Block Structure Sparse Based T–S Fuzzy Modeling for Dynamic Prediction of Hot Metal Silicon Content in the Blast Furnace. IEEE Transactions on Industrial Electronics 65:6, pages 4933-4942.
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Junpeng Li, Changchun Hua, Yana Yang & Xinping Guan. (2018) Fuzzy Classifier Design for Development Tendency of Hot Metal Silicon Content in Blast Furnace. IEEE Transactions on Industrial Informatics 14:3, pages 1115-1123.
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Xinmin Zhang, Manabu Kano & Shinroku Matsuzaki. (2017) Pattern trees modeling for prediction and control of hot metal temperature in blast furnace ironmaking. Pattern trees modeling for prediction and control of hot metal temperature in blast furnace ironmaking.
Junpeng Li, Changchun Hua & Xinping Guan. (2017) Inputs screening of hot metal silicon content model on blast furnace. Inputs screening of hot metal silicon content model on blast furnace.
Wang Hongwu, Yang Genke, Pan Changchun & Gong Qingsong. (2015) Prediction of hot metal silicon content in blast furnace based on EMD and DNN. Prediction of hot metal silicon content in blast furnace based on EMD and DNN.
Tian Huixin & Yao Jiaxin. (2015) A novel improved data-driven subspace algorithm for power load forecasting in iron and steel enterprise. A novel improved data-driven subspace algorithm for power load forecasting in iron and steel enterprise.
Henrik Saxen, Chuanhou Gao & Zhiwei Gao. (2013) Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace—A Review. IEEE Transactions on Industrial Informatics 9:4, pages 2213-2225.
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Ling Jian, Chuanhou Gao & Zhonghang Xia. (2012) Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. IEEE Transactions on Automation Science and Engineering 9:4, pages 763-777.
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Antti Nurkkala, Frank Pettersson & Henrik Saxén. (2011) Nonlinear Modeling Method Applied to Prediction of Hot Metal Silicon in the Ironmaking Blast Furnace. Industrial & Engineering Chemistry Research 50:15, pages 9236-9248.
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