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.
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.
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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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