Title :
A fuzzy ARTMAP nonparametric probability estimator for nonstationary pattern recognition problems
Author :
Carpenter, Gail A. ; Grossberg, Stephen ; Reynolds, John H.
Author_Institution :
Center for Adaptive Syst., Boston Univ., MA, USA
fDate :
11/1/1995 12:00:00 AM
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
Keywords :
ART neural nets; fuzzy neural nets; pattern recognition; probability; fuzzy ART neural network; fuzzy ARTMAP nonparametric probability estimator; incremental estimation procedure; max-nodes mode; nonstationary pattern recognition problems; slow-learning mode; supervised predictive mapping; Adaptive systems; Character recognition; Databases; Fuzzy neural networks; Hospitals; Medical diagnostic imaging; Neural networks; Pattern recognition; Resonance; Working environment noise;
Journal_Title :
Neural Networks, IEEE Transactions on
