Classification of incomplete data using the fuzzy ARTMAP neural network

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Classification of incomplete data using the fuzzy ARTMAP neural network

Granger, Eric and Rubin, Mark A. and Grossberg, Stephen and Lavoie, Pierre

Proceedings of the International Joint Conference on Neural Networks 2000

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 data base of radar pulses.

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