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

1996 ◽  
Vol 32 (23) ◽  
pp. 2154 ◽  
Author(s):  
G. Naghdy ◽  
J. Wang ◽  
P. Ogunbona
Keyword(s):  
Neural Networks ◽  
Performance Enhancement ◽  
Adaptive Resonance Theory ◽  
Resonance Theory ◽  
Adaptive Resonance ◽  
Fuzzy Adaptive

scholarly journals Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm

2014 ◽  
Vol 8 (1) ◽  
pp. 15-21
Author(s):  
Dmitrienko V. D ◽  
Yu. Zakovorotnyi A ◽  
Yu. Leonov S ◽  
Khavina I. P
Keyword(s):  
Neural Networks ◽  
Multiple Solutions ◽  
Input Data ◽  
Learning Algorithms ◽  
Adaptive Resonance Theory ◽  
Classification Methods ◽  
Resonance Theory ◽  
Adaptive Resonance ◽  
Noisy Input ◽  
New Algorithms

A new discrete neural networks adaptive resonance theory (ART), which allows solving problems with multiple solutions, is developed. New algorithms neural networks teaching ART to prevent degradation and reproduction classes at training noisy input data is developed. Proposed learning algorithms discrete ART networks, allowing obtaining different classification methods of input.

Knowledge-based Fuzzy Adaptive Resonance Theory and Its Application to the Analysis of Gene Expression in Plants

2008 ◽  
Vol 106 (6) ◽  
pp. 587-593 ◽  
Author(s):  
Hiro Takahashi ◽  
Hidekazu Iwakawa ◽  
Sachiko Nakao ◽  
Takahiro Ojio ◽  
Ryo Morishita ◽  
...  
Keyword(s):  
Gene Expression ◽  
Adaptive Resonance Theory ◽  
Resonance Theory ◽  
Adaptive Resonance ◽  
Knowledge Based ◽  
Fuzzy Adaptive
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