Building Adaptive Basis Functions with a Continuous SOM

dc.contributor.author	Campos, Marcos	en_US
dc.contributor.author	Carpenter, Gail A.	en_US
dc.date.accessioned	2011-11-14T19:07:57Z
dc.date.available	2011-11-14T19:07:57Z
dc.date.issued	1998-06	en_US
dc.identifier.uri	http://hdl.handle.net/2144/2359
dc.description.abstract	This paper introduces CSOM, a distributed version of the Self-Organizing Map network capable of generating maps similar to those created with the original algorithm. Due to the continuous nature of the mapping, CSOM outperforms the traditional SOM algorithm in function approximation tasks. System performance is illustrated with three examples.	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-1998-025	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	Building Adaptive Basis Functions with a Continuous SOM	en_US
dc.type	Technical Report	en_US
dc.rights.holder	Boston University Trustees	en_US