Control Method of Nanomaterial Numerical Control Electronic Processing Based on RBF Neural Network
With the rapid development of social economy and modern industry, the performance requirements of some important nanomaterials in various fields are constantly improving. The processing of these nanomaterials will have a direct impact on the development level of some core industries, such as aerospa...
Saved in:
Main Authors: | Haiyan Wang, Fanwei Meng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2022/1904431 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic Surface Control of Harmonic Drive Mechanism based on RBF Neural Network
by: Li Xiangwei, et al.
Published: (2016-01-01) -
Research on Adaptive Back-stepping Control of Harmonic Drive Based on the RBF Neural Network
by: Song Gang, et al.
Published: (2023-08-01) -
A Novel Kernel for RBF Based Neural Networks
by: Wasim Aftab, et al.
Published: (2014-01-01) -
Retracted: Parameter-Tunable RBF Neural Network Control Facing Dual-Joint Manipulators
by: Journal of Robotics
Published: (2024-01-01) -
Adaptive Compensation Control of Closed-chain Lower Limb Rehabilitation Robots Based on the RBF Neural Network
by: Li Dongqi, et al.
Published: (2024-04-01)