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dc.contributor.authorCarpenter, Gail A.en_US
dc.contributor.authorWilson, Frank D.M.en_US
dc.date.accessioned2011-11-14T18:25:17Z
dc.date.available2011-11-14T18:25:17Z
dc.date.issued1997-6
dc.identifier.urihttps://hdl.handle.net/2144/2121
dc.description.abstractARTMAP-DS extends fuzzy ARTMAP to discriminate between similar inputs by discounting similarities. When two or more candidate category representations are activated by a given input, features that the candidate representations have in common are ignored prior to determining the winning category. Simulations illustrate the network's ability to recognize similar inputs, such as STAR and START, in a noisy environment.en_US
dc.description.sponsorshipNational Science Foundation (IRI-94-01659); Office of Naval Research (N00014-95-1-0409, N00014-95-1-0657)en_US
dc.language.isoen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-1997-009
dc.rightsCopyright 1997 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleARTMAP-DS: Pattern Discrimination by Discounting Similaritiesen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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