Recent Advances on Machine Learning Applications in Machining Processes
This study aims to present an overall review of the recent research status regarding Machine Learning (ML) applications in machining processes. In the current industrial systems, processes require the capacity to adapt to manufacturing conditions continuously, guaranteeing high performance in terms...
Main Authors: | Francesco Aggogeri, Nicola Pellegrini, Franco Luis Tagliani |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/18/8764 |
Similar Items
-
Machine Learning Sequential Methodology for Robot Inverse Kinematic Modelling
by: Franco Luis Tagliani, et al.
Published: (2022-09-01) -
Machine Learning Techniques for Screening and Diagnosis of Diabetes: a Survey
by: Yun-lei Sun, et al.
Published: (2019-01-01) -
Machine learning and its application in seismology
by: Xu Yang, et al.
Published: (2021-01-01) -
Machine learning applications in RNA modification sites prediction
by: A. El Allali, et al.
Published: (2021-01-01) -
Extended PKM Fixturing System for Micro-Positioning and Vibration Rejection in Machining Application
by: Francesco Aggogeri, et al.
Published: (2021-11-01)