Performance enhancement for fuzzy adaptive resonance theory (ART) neural networks

Authors

Golshah Naghdy, University of WollongongFollow
Jiazhao Wang, University of WollongongFollow
Philip O. Ogunbona, University of WollongongFollow

RIS ID

65869

Publication Details

Naghdy, G., Wang, J. & Ogunbona, P. O. (1996). Performance enhancement for fuzzy adaptive resonance theory (ART) neural networks. Electronics Letters, 32 (23), 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.