venkatesh-theimportance-1999.pdf (547.72 kB)
The importance of neighbourhood size in self organising systems
conference contribution
posted on 1999-01-01, 00:00 authored by R Keith-Magee, Svetha VenkateshSvetha Venkatesh, M TakatsukaIn recent times, the analysis of SOM (self-organising map) performance has concentrated on optimising the gain decay, rather than the size, form and decay of the neighbourhood function. We propose that the size, form and decay of region size plays a much more significant role in the learning, and especially in the development, of topographic feature maps. In this paper, a biologically-derived SOM model is presented. This model is able to select a single winning neuron and to form Gaussian outputs about this winner, without the need for a meta-level decision-making structure to artificially select a winner and fit a Gaussian output to that winner. Using this model, some fundamental characteristics of the relationship between neighbourhood size and SOM output states are demonstrated.
History
Event
International Conference on Neural Information Processing (6th : 1999 : Perth, W. A.)Pagination
267 - 272Publisher
IEEELocation
Perth, W. A.Place of publication
[Washington, D. C.]Publisher DOI
Start date
1999-11-16End date
1999-11-20ISBN-10
0780358716Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
1999, IEEETitle of proceedings
ICONIP'99 : Proceedings of the 6th International Conference on Neural Information ProcessingUsage metrics
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