Investigation of topographical stability of the concave and convex self-organizing map variant

Abstract

We 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.

Publication DOI: https://doi.org/10.1007/11840817_22
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Mathematics
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
College of Engineering & Physical Sciences
Additional Information: © Springer-Verlag Berlin Heidelberg 2006
Event Title: 16th International Conference on Artificial Neural Networks, ICANN 2006
Event Type: Other
Event Dates: 2006-09-10 - 2006-09-14
Uncontrolled Keywords: Computer Science(all),Theoretical Computer Science
ISBN: 3540386254, 9783540386254
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... 007/11840817_22 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2006
Authors: Molle, Fabien
Claussen, Jens Christian (ORCID Profile 0000-0002-9870-4924)

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