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

@article{Carpenter1997DistributedLR,
  title={Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks},
  author={Gail A. Carpenter},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={1997},
  volume={10 8},
  pages={1473-1494}
}
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 the stable fast learning capabilities of winner-take-all ART systems with the noise tolerance and code compression capabilities of multilayer perceptrons. With a… CONTINUE READING