DocumentCode
1453792
Title
Performance enhancement for fuzzy adaptive resonance theory (ART) neural networks
Author
Naghdy, G. ; Wang, J. ; Ogunbona, P.
Author_Institution
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
Volume
32
Issue
23
fYear
1996
fDate
11/7/1996 12:00:00 AM
Firstpage
2154
Abstract
A modified fuzzy adaptive resonance theory neural network (ART) is used as a classifier for a texture recognition system. The system consists of a wavelet based low level feature detector and a high level ART classifier. The performance improvement is measured in terms of identification accuracy and computational burden
Keywords
ART neural nets; fuzzy neural nets; identification; image classification; image texture; pattern classification; wavelet transforms; adaptive resonance theory; computational burden; fuzzy ART neural networks; high level ART classifier; identification accuracy; neural classifier; performance enhancement; texture recognition system; wavelet based low level feature detector;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19961433
Filename
543894
Link To Document