Investigation of topographical stability of the concave and convex Self-Organizing Map variant

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dc.creatorMolle, Fabien
dc.creatorClaussen, Jens Christian
dc.date2006-09-20
dc.date.accessioned2026-07-07T07:23:38Z
dc.date.available2026-07-07T07:23:38Z
dc.descriptionWe investigate, by a systematic numerical study, the parameter dependence of the stability of the Kohonen Self-Organizing Map and the Zheng and Greenleaf concave and convex learning with respect to different input distributions, input and output dimensions.
dc.identifierhttps://arxiv.org/abs/cond-mat/0609510
dc.identifierhttp://arxiv.org/abs/cond-mat/0609510
dc.identifierLecture Notes in Computer Science 4131, 208-215 (2006)
dc.identifierdoi:10.1007/11840817_22
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/116051
dc.subjectDisordered Systems and Neural Networks
dc.titleInvestigation of topographical stability of the concave and convex Self-Organizing Map variant
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