Towards intelligent control system for computer numerical control machines
Advances in deep learning have led to impressive results in recent years. The new technologies such as convolutional neural networks, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life applications. In this paper, the results of the expe...
Saved in:
Main Authors: | Nikolaev, E. I., Николаев, Е. И. |
---|---|
Format: | Статья |
Language: | English |
Published: |
Institute of Physics Publishing
2019
|
Subjects: | |
Online Access: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85068641414&origin=resultslist&sort=plf-f&src=s&st1=Towards+intelligent+control+system+for+computer+numerical+control+machines&st2=&sid=d1b3a8e1a522cb2683562dcb2176121f&sot=b&sdt=b&sl=89&s=TITLE-ABS-KEY%28Towards+intelligent+control+system+for+computer+numerical+control+machines%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/6800 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Style transfer for CNC machine input data preprocessing
by: Nikolaev, E. I., et al.
Published: (2019) -
Machine learning algorithm for anthropomorphic manipulator control system
by: Petrenko, V. I., et al.
Published: (2021) -
Using Computer Vision to Detect Deviations in Automatic Train Control Values during Locomotive Operation
by: Tsapleva, V. V., et al.
Published: (2024) -
Applying a Generative Adversarial Approach to Build an Intelligent Control System for Robotic Systems
by: Nikolaev, E. I., et al.
Published: (2023) -
Adaptive controller for induction machine direct torque control
by: Kononov, Y. G., et al.
Published: (2021)