The optimal rule structure for fuzzy systems in function approximation by hybrid approach in learning process

Nguyen, Thi, Gordon-Brown, Lee and Peterson, Jim 2008, The optimal rule structure for fuzzy systems in function approximation by hybrid approach in learning process, in CIMCA 2008 : Proceedings of the Computational Intelligence for Modelling, Control and Automation 2008 international conference, IEEE, Piscataway, N.J., pp. 1211-1216.

Attached Files
Name Description MIMEType Size Downloads

Title The optimal rule structure for fuzzy systems in function approximation by hybrid approach in learning process
Author(s) Nguyen, Thi
Gordon-Brown, Lee
Peterson, Jim
Conference name Computational Intelligence for Modelling, Control and Automation. International Conference (2008 : Vienna, Austria)
Conference location Vienna, Austria
Conference dates 10 - 12 Dec. 2008
Title of proceedings CIMCA 2008 : Proceedings of the Computational Intelligence for Modelling, Control and Automation 2008 international conference
Editor(s) [Unknown]
Publication date 2008
Conference series Computational Intelligence for Modelling, Control and Automation International Conference
Start page 1211
End page 1216
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) optimal rule structure
fuzzy systems
function approximation
hybrid approach
learning process
Notes Article number : 5172798
ISBN 9780769535142
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30056319

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 12 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 02 Oct 2013, 10:34:46 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.