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dc.contributor.authorCarpenter, Gail A.en_US
dc.contributor.authorGrossberg, Stephenen_US
dc.contributor.authorRosen, David B.en_US
dc.date.accessioned2011-11-14T18:21:52Z
dc.date.available2011-11-14T18:21:52Z
dc.date.issued1991-08en_US
dc.identifier.urihttp://hdl.handle.net/2144/2076
dc.description.abstractA neural network realization of the fuzzy Adaptive Resonance Theory (ART) algorithm is described. Fuzzy ART is capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns. Fuzzy ART incorporates computations from fuzzy set theory into the ART 1 neural network, which learns to categorize only binary input patterns, thus enabling the network to learn both analog and binary input patterns. In the neural network realization of fuzzy ART, signal transduction obeys a path capacity rule. Category choice is determined by a combination of bottom-up signals and learned category biases. Top-down signals impose upper bounds on feature node activations.en_US
dc.description.sponsorshipBritish Petroleum (89-A-1204); Defense Advanced Research Projects Agency (90-0083); National Science Foundation (IRI 90-00530); Office of Naval Research (N00014-91-J-4100); Air Force Office of Scientific Research (90-0175)en_US
dc.language.isoen_USen_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-1991-021en_US
dc.rightsCopyright 1991 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.subjectFuzzy ART
dc.subjectAdaptive Resonance Theory (ART)
dc.subjectNeural networks
dc.subjectFuzzy set theory
dc.subjectCategorization
dc.subjectPattern recognition
dc.titleA Neural Network Realization of Fuzzy ARTen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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