Convergence rate in intelligent self-organizing feature map using dynamic gaussian function

Authors:
Geuk Lee;Seoksoo Kim;Tai Hoon Kim;Min Wook Kil
Affiliations:
Department of Computer Eng., Hannam University, DaeJeon, South Korea;Department of Multimedia., Hannam University, DaeJeon, South Korea;Security Engineering Research Group, DaeJeon, South Korea;Dept. of Medical Inform., Mun Kyung College, HoGyeMyun, Mun Kyung, South Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

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Abstract

The existing self-organizing feature map has weak points when it trains. It needs too many input patterns, and a learning time is increased to handle them. In this paper, we propose a method improving the convergence speed and the convergence rate of the intelligent self-organizing feature map by adapting Dynamic Gaussian Function instead of using a Neighbor Interaction Set whose learning rate is steady during the training of the self-organizing feature map.