ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
This 1991 article introduces ARTMAP, an ART architecture for supervised learning. The ART
1, ART 2, and ART 3 networks were designed to learn and perform pattern recognition tasks …
1, ART 2, and ART 3 networks were designed to learn and perform pattern recognition tasks …
A self-organizing neural network for supervised learning, recognition, and prediction
GA Carpenter, S Grossberg - IEEE Communications Magazine, 1992 - ieeexplore.ieee.org
Fuzzy ARTMAP, one of a rapidly growing family of attentive self-organizing learning,
hypothesis testing, and prediction systems that have evolved from the biological theory of …
hypothesis testing, and prediction systems that have evolved from the biological theory of …
Hierarchical clustering with ART neural networks
G Bartfai - Proceedings of 1994 IEEE International Conference …, 1994 - ieeexplore.ieee.org
This paper introduces the concept of a modular neural network structure, which is capable of
clustering input patterns through unsupervised learning, and representing a self-consistent …
clustering input patterns through unsupervised learning, and representing a self-consistent …
The ART of adaptive pattern recognition by a self-organizing neural network
GA Carpenter, S Grossberg - Computer, 1988 - ieeexplore.ieee.org
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 …
facing designers of learning systems, namely how to design a learning system that will …
[PDF][PDF] Default artmap
GA Carpenter - 2003 - techlab.bu.edu
Default ARTMAP Page 1 IJCNN’03, Portland CAS/CNS Technical Report TR-2003-008 1
Default ARTMAP Gail A. Carpenter Department of Cognitive and Neural Systems, Boston …
Default ARTMAP Gail A. Carpenter Department of Cognitive and Neural Systems, Boston …
Back-propagation learning in expert networks
RC Lacher, SI Hruska… - IEEE Transactions on …, 1992 - ieeexplore.ieee.org
Expert networks are event-driven, acyclic networks of neural objects derived from expert
systems. The neural objects process information through a nonlinear combining function that …
systems. The neural objects process information through a nonlinear combining function that …
ART-EMAP: A neural network architecture for object recognition by evidence accumulation
GA Carpenter, WD Ross - IEEE Transactions on Neural …, 1995 - ieeexplore.ieee.org
A new neural network architecture is introduced for the recognition of pattern classes after
supervised and unsupervised learning. Applications include spatio-temporal image …
supervised and unsupervised learning. Applications include spatio-temporal image …
[图书][B] A practical guide to neural nets
M McCord-Nelson, WT Illingworth - 1991 - dl.acm.org
In an earlier review (review 9301-0009), I compared introductory books on artificial neural
networks (ANNs) published during the last couple of years. A common weakness of all nine …
networks (ANNs) published during the last couple of years. A common weakness of all nine …
[图书][B] Introduction to artificial neural networks
S Sivanandam, M Paulraj - 2009 - books.google.com
This fundamental book on Artificial Neural Networks has its emphasis on clear concepts,
ease of understanding and simple examples. Written for undergraduate students, the book …
ease of understanding and simple examples. Written for undergraduate students, the book …
A fuzzy ARTMAP nonparametric probability estimator for nonstationary pattern recognition problems
GA Carpenter, S Grossberg… - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP
(adaptive resonance theory-supervised predictive mapping) neural network is introduced. In …
(adaptive resonance theory-supervised predictive mapping) neural network is introduced. In …