On weight adjustment of self-organizing feature maps

Shin Lun Tung, Yau Tarng Juang, L. Y. Lee, Mei Fang Lin

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper proposes an alternative adjustment of weights for Kohonen learning that provides a better match of topology and an improved representation of the input data. Based on the adjustment of weights, a new weighted energy function is defined. Then we propose a new scheme that applies the multiple training concept to the weighted energy function. The new scheme results in a better directional adjustment of weights and increases the training speed of the network dramatically. Finally experimental results demonstrate that much better recognition rate is obtained.

Original languageEnglish
Pages (from-to)747-751
Number of pages5
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics - Beijing, China
Duration: 14 Oct 199617 Oct 1996

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