DocumentCode
2285702
Title
Classification of incomplete data using the fuzzy ARTMAP neural network
Author
Granger, Eric ; Rubin, Mark A. ; Grossberg, Stephen ; Lavoie, Pierre
Author_Institution
Dept. of Nat. Defence, Defence Res. Establ. Ottawa, Ont., Canada
Volume
6
fYear
2000
fDate
2000
Firstpage
35
Abstract
The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes. Modifications for dealing with such incomplete data are introduced, and performance is assessed on an emitter identification task using a database of radar pulses
Keywords
ART neural nets; fuzzy neural nets; learning (artificial intelligence); pattern classification; data classification; emitter identification task; fuzzy ARTMAP neural network; incomplete data; missing class labels; missing classes; missing components; radar pulses; Fuzzy neural networks; Fuzzy systems; Laboratories; Neural networks; Radar applications; Taxonomy; Testing; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.859369
Filename
859369
Link To Document