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https://scholarhub.balamand.edu.lb/handle/uob/732| Title: | Ordered fuzzy ARTMAP | Authors: | Dagher, Issam Georgiopoulos, M Heileman, G.L Bebis, G |
Affiliations: | Department of Computer Engineering | Keywords: | Pattern classification Fuzzy neural nets ART neural nets |
Subjects: | Computational complexity | Issue Date: | 2002 | Publisher: | IEEE | Part of: | IEEE World Congress on Computational Intelligence. IEEE International Joint Conference on Neural Networks Proceedings | Start page: | 1717 | End page: | 1722 | Conference: | IEEE International Joint Conference on Neural Networks (4-9 May 1998 : Anchorage, AK, USA) | Abstract: | 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. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/732 | Ezproxy URL: | Link to full text | Type: | Conference Paper |
| Appears in Collections: | Department of Computer Engineering |
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