Familiarity Discrimination of Radar Pulses

dc.contributor.author	Granger, Eric	en_US
dc.contributor.author	Grossberg, Stephen	en_US
dc.contributor.author	Rubin, Mark	en_US
dc.contributor.author	Streilein, William	en_US
dc.date.accessioned	2011-11-14T19:07:57Z
dc.date.available	2011-11-14T19:07:57Z
dc.date.issued	1998-07	en_US
dc.identifier.uri	http://hdl.handle.net/2144/2361
dc.description.abstract	The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training). The performance of ARTMAP-FD is tested on radar pulse data obtained in the field, and compared to that of the nearest-neighbor-based NEN algorithm and to a k > 1 extension of NEN.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems	en_US
dc.relation.ispartofseries	BUCAS/CNS Technical Reports; BUCAS/CNS-TR-1998-027	en_US
dc.rights	Copyright 1998 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.title	Familiarity Discrimination of Radar Pulses	en_US
dc.type	Technical Report	en_US
dc.rights.holder	Boston University Trustees	en_US