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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Veröffentlicht in:	Alexandria engineering journal Jg. 65; S. 809 - 823
Hauptverfasser:	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
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.02.2023 Elsevier
Schlagworte:	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-Zugang:	Volltext
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