An Ordering Algorithm for Pattern Presentation in FuzzyARTMAP that Tends to Improve
نویسندگان
چکیده
In this paper we introduce a procedure, based on the Max-Min clustering method, that identiies a xed order of training pattern presentation for Fuzzy ARTMAP. This procedure is referred to as the Ordering Algorithm, and the combination of this procedure with Fuzzy ARTMAP is referred to as Ordered Fuzzy ARTMAP. Experimental results demonstrate that Ordered Fuzzy ARTMAP exhibits a generalization performance that is better than the average generalization performance of Fuzzy ARTMAP, and in certain cases as good as, or better than the best Fuzzy ARTMAP generalization performance. We also calculate the number of operations required by the Ordering Algorithm and compare it to the number of operations required by the training phase of Fuzzy ARTMAP. We show that, under mild assumptions, the number of operations required by the Ordering Algorithm is a fraction of the number of operations required by Fuzzy ARTMAP.
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