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                                       Details for article 52 of 67 found articles
 
 
  Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search
 
 
Title: Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search
Author: Yang, Qiangda
Zhang, Jie
Yi, Zhi
Appeared in: Applied soft computing
Paging: Volume 83 () nr. C pages p.
Year: 2019
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 52 of 67 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands