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                                       Details for article 107 of 151 found articles
 
 
  Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis
 
 
Title: Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis
Author: Nabavi, Zohre
Mirzehi, Mohammad
Dehghani, Hesam
Appeared in: Resources policy
Paging: Volume 90 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 107 of 151 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands