Probabilistic simplified fuzzy ARTMAP (PSFAM)

The probabilistic simplified fuzzy ARTMAP (PSFAM) has been developed for fast training and offline or online learning and classification of data together with a probability measure of confidence in the classification. A simplified fuzzy ARTMAP (SFAM) and a Bayes' classifier are combined. Using a committee of SFAMs and brain-evoked response data from four groups of subjects, classification accuracies in the range 87–97% are achieved together with ideal or near-ideal medical statistics. The limitations appeared to be associated with the data.

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