Enhanced fuzzy single layer learning algorithm using automatic tuning of threshold

Authors:
Kwang-Baek Kim;Byung-Kwan Lee;Soon-Ho Kim
Affiliations:
Dept. of Computer Engineering, Silla University, Korea;Dept. of Computer Engineering, Kwandong University, Korea;Dept. of Automotive Mechanical Engineering, Silla University, Korea
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Year:
2006

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Abstract

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.