Single Net Indirect Learning Architecture

Andersen H.C., Teng F.C. and Tsoi A.C. (1994) Single Net Indirect Learning Architecture. IEEE Transactions on Neural Networks, 5 6: 1003-1005. doi:10.1109/72.329701

Author Andersen H.C.
Teng F.C.
Tsoi A.C.
Title Single Net Indirect Learning Architecture
Journal name IEEE Transactions on Neural Networks   Check publisher's open access policy
ISSN 1941-0093
Publication date 1994-01-01
Sub-type Article (original research)
DOI 10.1109/72.329701
Open Access Status Not yet assessed
Volume 5
Issue 6
Start page 1003
End page 1005
Total pages 3
Language eng
Subject 1702 Cognitive Sciences
1705 Computer Networks and Communications
1706 Computer Science Applications
1712 Software
1703 Computational Theory and Mathematics
1708 Hardware and Architecture
2207 Control and Systems Engineering
2208 Electrical and Electronic Engineering
2614 Theoretical Computer Science
Abstract This letter 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.
Q-Index Code C1
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
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Created: Tue, 13 Sep 2016, 14:13:53 EST by System User