A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification

Quteishat, Anas and Lim, Chee Peng 2008, A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification, Applied soft computing, vol. 8, no. 2, pp. 985-995.

Attached Files
Name Description MIMEType Size Downloads

Title A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification
Author(s) Quteishat, Anas
Lim, Chee Peng
Journal name Applied soft computing
Volume number 8
Issue number 2
Start page 985
End page 995
Total pages 11
Publisher Elsevier BV
Place of publication Amsterdam, The Netherlands
Publication date 2008-03
ISSN 1568-4946
1872-9681
Keyword(s) fault detection and classification
fuzzy min-max neural network
hyperboxed fuzzy sets
rule extraction
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2007, Elsevier B.V. All rights reserved.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048100

Document type: Journal Article
Collection: Institute for Frontier Materials
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 43 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 45 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Mon, 03 Sep 2012, 15:32:30 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.