venkatesh-anempirical-1999.pdf (535.68 kB)
An empirical study of neighbourhood decay in Kohonen's self organizing map
conference contribution
posted on 1999-01-01, 00:00 authored by R Keith-Magee, Svetha VenkateshSvetha Venkatesh, M TakatsukaIn 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.
History
Event
International Joint Conference on Neural Networks (1999, Washington, D. C.)Pagination
1953 - 1958Publisher
IEEELocation
Washington, D. C.Place of publication
Washington, D. C.Publisher DOI
Start date
1999-07-10End date
1999-07-16ISBN-10
0780355296Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
1999, IEEETitle of proceedings
IJCNN 1999 : Proceedings of the International Joint Conference on Neural NetworksUsage metrics
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