Causality-Driven Efficient Feature Selection for Deep-Learning-Based Surface Roughness Prediction in Milling Machines

This paper studies the application of artificial intelligence to milling machines, focusing specifically on identifying the inputs (features) required for predicting surface roughness. Previous studies have extensively reviewed and presented useful features for surface roughness prediction. However,...

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發表在:	Mathematics
Main Authors:	Hyeon-Uk Lee, Chang-Jae Chun, Jae-Mo Kang
格式:	Article
語言:	英语
出版:	MDPI AG 2023-11-01
主題:	surface roughness feature selection deep learning computer numerical control milling machine
在線閱讀:	https://www.mdpi.com/2227-7390/11/22/4682