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A. Sanz-García, J. Fernández-Ceniceros, R. Fernández-Martínez & F. J. Martínez-de-Pisón. (2014) Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace. Ironmaking & Steelmaking 41:2, pages 87-98.
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A. Sanz-Garcia, F. Antoñanzas-Torres, J. Fernández-Ceniceros & F. J. Martínez-de-Pisón. (2014) Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings. Ironmaking & Steelmaking 41:1, pages 51-60.
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D. M. Jones, J. Watton & K. J. Brown. (2006) Prediction and validation of through coil final mechanical properties of high strength hot rolled coil using artificial neural networks. Ironmaking & Steelmaking 33:4, pages 315-322.
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Articles from other publishers (8)
Neil Johnson, Sameer Prasad, Rimi Zakaria, Amin Vahedian & Nezih Altay. (2023) Nonlinear interactions via machine learning: Input factor orchestration in sustainable operations. Annals of Operations Research.
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Tianqing Zhang, Jian Zhang, Gongzhuang Peng & Hongwei Wang. (2022) Automated Machine Learning for Steel Production: A Case Study of TPOT for Material Mechanical Property Prediction. Automated Machine Learning for Steel Production: A Case Study of TPOT for Material Mechanical Property Prediction.
S.G. Borisade, O.O. Ajibola, A.O. Adebayo & A. Oyetunji. (2021) Development of mathematical models for the prediction of mechanical properties of low carbon steel (LCS). Materials Today: Proceedings 38, pages 1133-1139.
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Ramon Santos Correa, Patricia Teixeira Sampaio, Rafael Utsch Braga, Victor Alberto Lambertucci, Gustavo Matheus Almeida & Antonio Padua Braga. (2020) Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks. International Journal of Computational Intelligence and Applications 19:04.
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Adel Saoudi, Mamoun Fellah, Naouel Hezil, Djahida Lerari, Farida Khamouli, L'hadi Atoui, Khaldoun Bachari, Julia Morozova, Aleksei Obrosov & Mohammed Abdul Samad. (2020) Prediction of mechanical properties of welded steel X70 pipeline using neural network modelling. International Journal of Pressure Vessels and Piping 186, pages 104153.
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Muhammad Jamil & E.Y.K. Ng. (2013) Statistical modeling of electrode based thermal therapy with Taguchi based multiple regression. International Journal of Thermal Sciences 71, pages 283-291.
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Su-chao Xie, Hui Zhou, Jun-jie Zhao & Yi-cheng Zhang. (2013) Energy-absorption forecast of thin-walled structure by GA-BP hybrid algorithm. Journal of Central South University 20:4, pages 1122-1128.
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D M Jones, J Watton & K J Brown. (2007) Comparison of black-, white-, and grey-box models to predict ultimate tensile strength of high-strength hot rolled coils at the Port Talbot hot strip mill. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 221:1, pages 1-9.
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