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Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search

Lookup NU author(s): Professor Qiangda Yang, Dr Jie Zhang

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The full text of this item is currently under embargo and cannot be made publicly available until 31/07/2020.


Publication metadata

Author(s): Yang Q, Zhang J, Yi Z

Publication type: Article

Publication status: Published

Journal: Applied Soft Computing

Year: 2019

Volume: 83

Print publication date: 01/10/2019

Online publication date: 31/07/2019

Acceptance date: 28/06/2019

ISSN (print): 1568-4946

ISSN (electronic): 1872-9681

Publisher: Elsevier

URL: https://doi.org/10.1016/j.asoc.2019.105675

DOI: 10.1016/j.asoc.2019.105675


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