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

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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Bibliographic Details
Main Authors: Hyeon-Uk Lee, Chang-Jae Chun, Jae-Mo Kang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Mathematics
Subjects:
surface roughness
feature selection
deep learning
computer numerical control
milling machine
Online Access:https://www.mdpi.com/2227-7390/11/22/4682

Internet

https://www.mdpi.com/2227-7390/11/22/4682

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