Machining
Computational performance comparison of multiple regression analysis, artificial neural network and machine learning models in turning of GFRP composites with brazed tungsten carbide tipped tool

A. Amith Gadagi; B. Chandrashekar Adake

Volume 12, Issue 2 , February 2023, , Pages 133-143

https://doi.org/10.22061/jcarme.2022.8684.2164

Abstract
  In a turning process, it is essential to predict and choose appropriate process parameters to get a component’s proper surface roughness (Ra). In this paper, the prediction of Ra through the artificial neural network (ANN), multiple regression analysis (MRA), and random forest method (machine learning) ...  Read More