An enhanced Dendritic Neural Algorithm to predict the wear behavior of alumina coated silver reinforced copper nanocomposites

Due to the lack of analytical solutions for the wear rates prediction of nanocomposites, we present a modified machine learning method named Dendritic Neural (DN) to predict the wear performance of copper-alumina (Cu-Al2O3) nanocomposites that have large applicability in electronics. This modificati...

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Bibliographic Details

Published in:	Alexandria engineering journal Vol. 65; pp. 809 - 823
Main Authors:	Sadoun, A.M., Najjar, I.M.R., Fathy, A., Abd Elaziz, Mohamed, Al-qaness, Mohammed A.A., Abdallah, A.W., Elmahdy, M.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.02.2023 Elsevier
Subjects:	Artificial Hummingbird Algorithm (AHA) Cu-Al2O3 nanocomposites Dendritic Neural Meta-heuristic Cu-Al2O3 nanocomposites Artificial Hummingbird Algorithm (AHA) Meta-heuristic Dendritic Neural
ISSN:	1110-0168
Online Access:	Get full text
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