Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate
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 m...
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| Main Authors: | , , , , , , |
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| Format: | Bài trích |
| Language: | eng |
| Published: |
Mathematical Problems in Engineering
2021
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| Online Access: | https://www.hindawi.com/journals/mpe/2021/6815802/ https://dlib.phenikaa-uni.edu.vn/handle/PNK/2837 https://doi.org/10.1155/2021/6815802 |
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