A Fuzzy ARTMAP Nonparametric Probability Estimator For Nonstationary Pattern Recognition Problem
| Data(s) |
14/11/2011
14/11/2011
01/10/1994
|
|---|---|
| Resumo |
An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is introduced. In 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. Advanced Research Projects Agency (ONR N00014-92-J-4015); National Science Foundation (IRI-94-01659, IRI-90-00530); Office of Naval Research (N00014-91-J-4100); Air Force Office of Scientific Research (F49620-92-J-0225, 90-0175) |
| Identificador | |
| Publicador |
Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems |
| Relação |
BU CAS/CNS Technical Reports;CAS/CNS-TR-1993-047 |
| Direitos |
Copyright 1994 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission. Boston University Trustees |
| Palavras-Chave | #Probability estimation #Pattern recognition #Neural networks #Classification #ART #Learning #Nonparametric statistics #Nonstationary prediction |
| Tipo |
Technical Report |
