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IJCNN
2007
IEEE
14 years 1 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
IJCNN
2000
IEEE
13 years 12 months ago
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning
Georgios C. Anagnostopoulos, Michael Georgiopoulos
CEC
2008
IEEE
13 years 9 months ago
Efficient evolution of ART neural networks
Abstract-- Genetic algorithms have been used to evolve several neural network architectures. In a previous effort, we introduced the evolution of three well known ART architects; F...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
NN
2002
Springer
119views Neural Networks» more  NN 2002»
13 years 7 months ago
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP
In this paper we introduce novel geometric concepts, namely category regions, in the original framework of Fuzzy-ART (FA) and FuzzyARTMAP (FAM). The definitions of these regions a...
Georgios C. Anagnostopoulos, Michael Georgiopoulos
TNN
2010
185views Management» more  TNN 2010»
13 years 2 months ago
An adaptive multiobjective approach to evolving ART architectures
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...