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  A novel approach to predict the effect of chemical composition and thermo-mechanical processing parameters on Cu–Ni–Si alloys using a hybrid deep learning and ensemble learning model
 
 
Title: A novel approach to predict the effect of chemical composition and thermo-mechanical processing parameters on Cu–Ni–Si alloys using a hybrid deep learning and ensemble learning model
Author: Kolev, Mihail
Appeared in: Composites communications
Paging: Volume 48 () nr. C pages p.
Year: 2024
Contents:
Publisher: The Author
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 71 found articles
 
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