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Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859369IEEE-INNS-ENNS International Joint Co ...
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Eric Granger, Department of National Defense and ?cole Polytechnique de Montr?al
Mark A. Rubin, Boston University
Stephen Grossberg, Boston University
Pierre Lavoie, Department of National Defense
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.
Citation:
Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie, "Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network," ijcnn, vol. 6, pp.6035, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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