DocumentCode
354197
Title
The improved learning rule of neuron and its application in the servo controller
Author
Yibin, Song ; Peijin, Wang
Author_Institution
Coll. of Comput., Yantai Univ., Shandong, China
Volume
2
fYear
2000
fDate
2000
Firstpage
976
Abstract
A neuron is a basic unit of neural network. The learning process will certainly be effected by different learning rules. According to the learning ways of neuron, this paper presents a modified method, which is based on the guide factor, for the learning rule of neuron. The improved rule is applied to the design of a neural controller for a servo system. Simulation results show the presented method can improve the robust performance and tracking process of the system
Keywords
control system synthesis; learning (artificial intelligence); neurocontrollers; robust control; servomechanisms; tracking; guide factor; improved learning rule; neural network; neuron; robust performance; servo controller; tracking process; Application software; Computer networks; Control systems; Educational institutions; Intelligent networks; Neural networks; Neurons; Robustness; Servomechanisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863379
Filename
863379
Link To Document