A FUZZY ARTMAP NONPARAMETRIC PROBABILITY ESTIMATOR FOR NONSTATIONARY PATTERN-RECOGNITION PROBLEMS

Authors
CARPENTER GA GROSSBERG S REYNOLDS JH
Citation
Ga. Carpenter et al., A FUZZY ARTMAP NONPARAMETRIC PROBABILITY ESTIMATOR FOR NONSTATIONARY PATTERN-RECOGNITION PROBLEMS, IEEE transactions on neural networks, 6(6), 1995, pp. 1330-1336
Citations number
8
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
6
Issue
6
Year of publication
1995
Pages
1330 - 1336
Database
ISI
SICI code
1045-9227(1995)6:6<1330:AFANPE>2.0.ZU;2-S
Abstract
An incremental, nonparametric probability estimation procedure using t he fuzzy ARTMAP (adaptive resonance theory-supervised predictive mappi ng) neural network is introduced, In the slow-learning mode, fuzzy ART MAP searches for patterns of data on which to build ever more accurate estimates, In max-nodes mode, the network initially learns a fixed nu mber of categories, and weights are then adjusted gradually.