The importance of neighbourhood size in self organising systems
Keith-Magee, Russell, Venkatesh, Svetha and Takatsuka, Masahiro 1999, The importance of neighbourhood size in self organising systems, in ICONIP'99 : Proceedings of the 6th International Conference on Neural Information Processing, IEEE, [Washington, D. C.], pp. 267-272.
In 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.
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Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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