2006 | OriginalPaper | Buchkapitel
Enhanced Fuzzy Single Layer Learning Algorithm Using Automatic Tuning of Threshold
verfasst von : Kwang-Baek Kim, Byung-Kwan Lee, Soon-Ho Kim
Erschienen in: Computational Science and Its Applications - ICCSA 2006
Verlag: Springer Berlin Heidelberg
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In this paper, we proposed an enhanced fuzzy single layer learning algorithm using the dynamic adjustment of threshold. For performance evaluation, the proposed method was applied to the XOR problem, which is used as a benchmark in the field of pattern recognition, and the recognition of digital image in a practical image processing application. As a result of experiment, though the method does not always guarantee the convergence, it shows the improved learning time and the high convergence rate.