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Browsing by Author Hoanh-Son Truong

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    • Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate
    Authors: Van-Hai Nguyen; Tien-Thinh Le; Hoanh-Son Truong; Minh Vuong Le; Van-Luc Ngo; Anh Tuan Nguyen; Huu Quang Nguyen;  Advisor: -;  Co-Author: - (2021)

    This paper deals with the prediction of surface roughness in manufacturing polycarbonate (PC) by applying Bayesian optimization for machine learning models. The input variables of ultraprecision turning—namely, feed rate, depth of cut, spindle speed, and vibration of the X-, Y-, and Z-axis—are the main factors affecting surface quality. In this research, six machine learning- (ML-) based models—artificial neural network (ANN), Cat Boost Regression (CAT), Support Vector Machine (SVR), Gradient Boosting Regression (GBR), Decision Tree Regression (DTR), and Extreme Gradient Boosting Regression (XGB)—were applied to predict the surface roughness (Ra). The predictive performance of the bas...