Utilization of Improved Machine Learning Method Based on Artificial Hummingbird Algorithm to Predict the Tribological Behavior of Cu-Al<sub>2</sub>O<sub>3</sub> Nanocomposites Synthesized by In Situ Method
This paper presents a machine learning model to predict the effect of Al<sub>2</sub>O<sub>3</sub> nanoparticles content on the wear rates in Cu-Al<sub>2</sub>O<sub>3</sub> nanocomposite prepared using in situ chemical technique. The model developed is...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/8/1266 |