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http://dx.doi.org/10.6109/jkiice.2008.12.7.1291

A study of intelligent system to improve the accuracy of pattern recognition  

Chung, Sung-Boo (서일대학)
Kim, Joo-Woong (뉴파워전자(주))
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.7, 2008 , pp. 1291-1300 More about this Journal
Abstract
In this paper, we propose a intelligent system to improve the accuracy of pattern recognition. The proposed intelligent system consist in SOFM, LVQ and FCM algorithm. We are confirmed the effectiveness of the proposed intelligent system through the several experiments that classify Fisher's Iris data and face image data that offered by ORL of Cambridge Univ. and EMG data. As the results of experiments, the proposed intelligent system has better accuracy of pattern recognition than general LVQ.
Keywords
LVQ; SOFM;
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