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

Qiangda Yang, Jie Zhang 0005, Zhi-yi. Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. Appl. Soft Comput., 83, 2019. [doi]

@article{YangZY19-3,
  title = {Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search},
  author = {Qiangda Yang and Jie Zhang 0005 and Zhi-yi},
  year = {2019},
  doi = {10.1016/j.asoc.2019.105675},
  url = {https://doi.org/10.1016/j.asoc.2019.105675},
  researchr = {https://researchr.org/publication/YangZY19-3},
  cites = {0},
  citedby = {0},
  journal = {Appl. Soft Comput.},
  volume = {83},
}