A fuzzy ARTMAP nonparametric probability estimator for non-stationary pattern recognition problems

Author(s): Carpenter, G.A. | Grossberg, S. | Reynolds, J.H. |

Year: 1995

Citation: IEEE Trans. Neural Networks. Vol. 6, No. 6, 1330-1336.

Abstract: An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP (adaptive resonance theory-supervised predictive mapping) neural network is introduced. In the slow-learning mode, fuzzy ARTMAP searches for patterns of data on which to build ever more accurate estimates. In max-nodes mode, the network initially learns a fixed number of categories, and weights are then adjusted gradually.

Topics: Machine Learning, Models: Fuzzy ARTMAP,

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