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

@article{Carpenter1991ARTMAPSR,
  title={ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network},
  author={Gail A. Carpenter and Stephen Grossberg and John H. Reynolds},
  journal={Neural Networks},
  year={1991},
  volume={4},
  pages={565-588}
}
-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 on predictive success. This supervised learning system is" built up from a pair of Adaptive Resonance Theory modules (ART, and ARTh) that are capable o f self-organizing stable recognition categories in response to arbitra O' sequences o f input patterns. During training trials, the ART, module… CONTINUE READING
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