DocumentCode
1190640
Title
Single net indirect learning architecture
Author
Andersen, H.C. ; Teng, F.C. ; Tsoi, A.C.
Author_Institution
Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia
Volume
5
Issue
6
fYear
1994
fDate
11/1/1994 12:00:00 AM
Firstpage
1003
Lastpage
1005
Abstract
This paper presents a novel indirect learning architecture which uses a single neural network in implementation. The new architecture generates the error signal required in training the controller network by an innovative design using a memory element and few switches. The new controller needs only half the number of neurons and connection weights in comparison with the original indirect learning architecture. Also given are the simulation results in controlling a nonlinear plant
Keywords
intelligent control; learning systems; neural nets; nonlinear systems; error signal; memory element; neural network; nonlinear plant control; single net indirect learning architecture; Adaptive control; Artificial neural networks; Australia Council; Control systems; Error correction; Neural networks; Neurons; Signal design; Signal generators; Switches;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.329701
Filename
329701
Link To Document