A Study on the application of Superpixel based preprocessing technology to improve performance in the road surface object information detecting process using artificial neural networks

2020 ◽  
Vol 21 (11) ◽  
pp. 2049-2056
Author(s):  
Yeon-Tae Kim ◽  
Jae-Kyu Lim ◽  
Hyung-Mog You ◽  
Moon-Sup Lee
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Road Surface ◽  
Improve Performance ◽  
The Road ◽  
Artificial Neural ◽  
Surface Object

scholarly journals Artificial Neural Networks Direct Torque Control of Single Inverter Feed Two Induction Motors

2021 ◽  
Vol 54 (6) ◽  
pp. 881-889
Author(s):  
Kouadria Mohamed Elbachir ◽  
Azaiz Ahmed
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Direct Torque Control ◽  
Torque Control ◽  
Improve Performance ◽  
System A ◽  
Asynchronous Motors ◽  
Railway Traction ◽  
Average Control ◽  
Artificial Neural

Nowadays the multi-inverter multi-machine conventional system takes a great interest of industrials like railway traction. The implementation of single inverter to dual motor makes all the system cheaper; soft operation, more robust and reliable; This paper is one of control methods proposed in the literature to improve performance of this system, a master slave and average control based in artificial neural networks direct torque control of bi asynchronous motors supplied by single three level inverter NPC is discussed. The result of theoretical analysis is tested with MATLAB SIMULINK environment. And through that, the possibility of DTC single inverter multi-motor system has been verified.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document