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
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;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.859369
