THE DESIGN AND TESTING OF A NEURAL CONTROLLER BASED ON ARTIFICIAL NEURAL NETWORK THEORY USING LABVIEW FACILITIES

被引：0

作者：

Alshareefi, Hamid ^{[1
]}

Lupu, Ciprian ^{[1
]}

Ismail, Laith ^{[1
]}

Lich Duc Luu ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Automat Control & Comp, Bucharest, Romania

来源：

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2021年 / 83卷 / 03期

关键词：

neural network; feedforward; backpropagation; real-time; position control; LabVIEW;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the design and software solution for the neural controller based on the artificial intelligence theories, the neural networks. Real-time implementation and experimental study performed on the position control system with demonstrating the calculations of feedforward and backpropagation algorithms for the neural controller as well as the front panel design of the main control program using the graphic image software LabVIEW.

引用

页码：35 / 46

页数：12

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