A novel measure for quantifying the topology preservation of self-organizing feature maps

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/32149

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32149

Title:	A novel measure for quantifying the topology preservation of self-organizing feature maps
Authors:	Su,MC;Chang,HT;Chou,CH
Contributors:	資訊工程研究所
Date:	2002
Issue Date:	2010-07-06 18:19:41 (UTC+8)
Publisher:	中央大學
Abstract:	Recently, feature maps have been applied to various problem domains. The success of some of these applications critically depends on whether feature maps are topologically ordered. In this paper, we propose a novel measure for quantifying the neighborhood
Relation:	NEURAL PROCESSING LETTERS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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