Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators
Analyzing time series data in industrial settings demands domain knowledge and computer science expertise to develop effective algorithms. AutoML approaches aim to automate this process, reducing human bias and improving accuracy and cost-effectiveness. This article applies an evolutionary algorithm...
Saved in:
Main Authors: | Hoa Thi Nguyen, Roland Olsson, Oystein Haugen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of the Industrial Electronics Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10423805/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rancang Bangun Mesin CNC 2 Sumbu
by: Firman Ridwan, et al.
Published: (2017-10-01) -
Novel and cost-effective CNC tool condition monitoring through image processing techniques
by: Alireza Falah, et al.
Published: (2025-01-01) -
Research of CNC Gear Hobbing Automatic Programming Technology
by: Diao Xiuhui, et al.
Published: (2017-01-01) -
DEDICATED CNC MILLING STRATEGIES FOR COMPLEX SURFACES
by: Adrian BUT, et al.
Published: (2023-05-01) -
THE DESIGN AND IMPLEMENTATION OF AN AUTOMATED CNC TYPEWRITER
by: George-Cristian Ene, et al.
Published: (2024-07-01)