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Adaptive resonance theory

Known as: ART 
Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information. It… 
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Related topics

Related topics

7 relations
Algebraic equationArtificial neural networkEncog Machine Learning FrameworkMemory-prediction framework

Papers overview

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2008
2008
Using recursive ART network to construction domain ontology based on term frequency and inverse document frequency
2005
2005
A new ART-counterpropagation neural network for solving a forecasting problem
Highly Cited
2004
Highly Cited
2004
Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis
2003
2003
Face recognition using adaptive resonance theory
Human face detection and recognition are challenged questions in pattern recognition field. After the facial features such as… 
2002
2002
Knowledge acquisition and learning in unstructured robotic assembly environments
1998
1998
ADAPTIVE RESONANCE NEURAL CLASSIFIER FOR IDENTIFICATION OF GASES/ODOURS USING AN INTEGRATED SENSOR ARRAY
1994
1994
An adaptive integrated fuzzy clustering model for pattern recognition
1991
1991
Improved adaptive resonance theory
Adaptive resonance theory (ART) has been used to develop neural network architectures in order to self-organize pattern… 
1991
1991
ART based adaptive pole placement for neurocontrollers
1989
1989
Adaptive Resonance Theory 1
Abstract : This report describes the function, operation, test and evaluation of a Neural Network that accomplishes unsupervised… 
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