PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM

PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM

The main objective of this research is to design a web-based machine learning model that can predict the mechanical properties of aluminum based on its chemical composition. By inputting nine variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, and Si, the model is able to provide...

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Bibliographic Details
Main Authors: Desmarita Leni, Yuda Perdana Kusuma, Muchlisinalahuddin Muchlisinalahuddin, Femi Earnerstly, Riza Muharni, Ruzita Sumiati
Format: Article
Language:English
Published: University of Brawijaya 2023-08-01
Series:Rekayasa Mesin
Subjects:
machine learning
website
yield strength
tensile strength
algorithm
Online Access:https://rekayasamesin.ub.ac.id/index.php/rm/article/view/1370

Internet

https://rekayasamesin.ub.ac.id/index.php/rm/article/view/1370

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