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

Author(s): Naghdy, G. | Ogunbona, P. | Wang, J. |

Year: 1996

Citation: ELECTRONICS LETTERS Volume: 32 Issue: 23 Pages: 2154-2154

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.

Topics: Image Analysis, Models: ART 2 / Fuzzy ART,

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