In this paper we introduce a procedure that identifies a fixed order of training pattern presentation for fuzzy ARTMAP. The resulting algorithm is named ordered fuzzy ARTMAP. Experimental results have demonstrated that ordered fuzzy ARTMAP achieves a network performance that is better than the average fuzzy ARTMAP network performance (averaged over a fixed number of random orders of pattern presentations), and occasionally better than the maximum fuzzy ARTMAP network performance (maximum over a fixed number of random orders of pattern presentations). What is also worth noting is that the computational complexity of the aforementioned procedure is only a small fraction of the computational complexity required to complete the training phase of fuzzy ARTMAP for a single order of pattern presentation.
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