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                                       Details for article 54 of 58 found articles
 
 
  Towards a NIR Spectroscopy ensemble learning technique competing with the standard ASTM-CFR: An optimal boosting and bagging extreme learning machine algorithms for gasoline octane number prediction
 
 
Title: Towards a NIR Spectroscopy ensemble learning technique competing with the standard ASTM-CFR: An optimal boosting and bagging extreme learning machine algorithms for gasoline octane number prediction
Author: GHOGGALI, Noureddine
DOUAK, Fouzi
GHOGGALI, Walid
Appeared in: Optik
Paging: Volume 257 () nr. C pages p.
Year: 2022
Contents:
Publisher: Elsevier GmbH
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 54 of 58 found articles
 
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