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An empirical study of neighbourhood decay in Kohonen's self organizing map

Keith-Magee, Russell, Venkatesh, Svetha and Takatsuka, Masahiro 1999, An empirical study of neighbourhood decay in Kohonen's self organizing map, in IJCNN 1999 : Proceedings of the International Joint Conference on Neural Networks, IEEE, Washington, D. C., pp. 1953-1958.

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Title An empirical study of neighbourhood decay in Kohonen's self organizing map
Author(s) Keith-Magee, Russell
Venkatesh, Svetha
Takatsuka, Masahiro
Conference name International Joint Conference on Neural Networks (1999, Washington, D. C.)
Conference location Washington, D. C.
Conference dates 10-16 Jul. 1999
Title of proceedings IJCNN 1999 : Proceedings of the International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 1999
Conference series International Joint Conference on Neural Networks
Start page 1953
End page 1958
Total pages 6
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) algorithm design and analysis
biological processes
biological system modeling
biology computing
brain modeling
geography
graphics
iterative algorithms
performance analysis
performance gain
Summary In this paper, empirical results are presented which suggest that size and rate of decay of region size plays a much more significant role in the learning, and especially the development, of topographic feature maps. Using these results as a basis, a scheme for decaying region size during SOM training is proposed. The proposed technique provides near optimal training time. This scheme avoids the need for sophisticated learning gain decay schemes, and precludes the need for a priori knowledge of likely training times. This scheme also has some potential uses for continuous learning.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780355296
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1999, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044542

Document type: Conference Paper
Collections: School of Information Technology
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