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dc.contributor.authorAsfour, Yousif R.en_US
dc.contributor.authorCarpenter, Gail A.en_US
dc.contributor.authorGrossberg, Stephenen_US
dc.contributor.authorLesher, Gregory W.en_US
dc.date.accessioned2011-11-14T18:19:25Z
dc.date.available2011-11-14T18:19:25Z
dc.date.issued1993-08
dc.identifier.urihttps://hdl.handle.net/2144/2029
dc.description.abstractFusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Fusion ARTMAP generalizes the fuzzy ARTMAP architecture in order to adaptively classify multi-channel data. The network has a symmetric organization such that each channel can be dynamically configured to serve as either a data input or a teaching input to the system. An ART module forms a compressed recognition code within each channel. These codes, in turn, beco1ne inputs to a single ART system that organizes the global recognition code. When a predictive error occurs, a process called parallel match tracking simultaneously raises vigilances in multiple ART modules until reset is triggered in one of thmn. Parallel match tracking hereby resets only that portion of the recognition code with the poorest match, or minimum predictive confidence. This internally controlled selective reset process is a type of credit assignment that creates a parsimoniously connected learned network.en_US
dc.description.sponsorshipAdvanced Research Projects Agency (ONR N00014-92-J-401J, ONR N00014-92-J-4015); National Science Foundation (IRI-90-00530, IRI-90-24877, Graduate Fellowship); Office of Naval Research (N00014-91-J-4100); British Petroleum (89-A-1204); Air Force Office of Scientific Research (F49620-92-J-0334)en_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-1993-052
dc.rightsCopyright 1993 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.titleFusion ARTMAP: An Adaptive Fuzzy Network for Multi-Channel Classificationen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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