Gail A. Carpenter

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Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps

Gail A. Carpenter, Stephen Grossberg, Natalya Markuzon, John H. Reynolds, David B. Rosen
IEEE Trans. Neural Networks
1992

A neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input… (More)

Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system

Gail A. Carpenter, Stephen Grossberg, David B. Rosen
Neural Networks
1991

-A Fuzzy Adaptive Resonance Theory (ART) model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART… (More)

A massively parallel architecture for a self-organizing neural pattern recognition machine

Gail A. Carpenter, Stephen Grossberg
Computer Vision, Graphics, and Image Processing
1987

A neural network architecture for the learning of recognition categories is derived. Real-time network dynamics are completely characterized through mathematical analysis and computer simulations.… (More)

ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network

Gail A. Carpenter, Stephen Grossberg, John H. Reynolds
Neural Networks
1991

-This article introduces a new neural network architecture, called A R T M A P , that autonomously learns to class(~v arbitrarily many, arbitrarily ordered vectors into recognition categories based… (More)

The ART of adaptive pattern recognition by a self-organizing neural network

The adaptive resonance theory (ART) suggests a solution to the stability-plasticity dilemma facing designers of learning systems, namely how to design a learning system that will remain plastic, or… (More)

ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition

Gail A. Carpenter, Stephen Grossberg, David B. Rosen
Neural Networks
1991

This artic,le introduces Adaptive Resonance Theor) 2-A (ART 2-A), an efjCicient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART 2 neural… (More)

ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases

Gail A. Carpenter, Natalya Markuzon
Neural Networks
1998

For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTMAP system. For the… (More)

Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks

Gail A. Carpenter
Neural Networks
1997

A class of adaptive resonance theory (ART) models for learning, recognition, and prediction with arbitrarily distributed code representations is introduced. Distributed ART neural networks combine… (More)

Intelligence Through Interaction: Towards a Unified Theory for Learning

Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg
ISNN
2007

Machine learning, a cornerstone of intelligent systems, has typically been studied in the context of specific tasks, including clustering (unsupervised learning), classification (supervised… (More)

Rule Extraction: From Neural Representation Architecture to Symbolic

Gail A. Carpenter, Tee Yong Tan
1995

This paper shows how knowledge, in the form of fuzzy rules, can be derizted from a superuised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning, which… (More)

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