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Enhanced Fuzzy Single Layer Learning Algorithm Using Automatic Tuning of Threshold

  • Kwang-Baek Kim
  • Byung-Kwan Lee
  • Soon-Ho Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3982)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kwang-Baek Kim
    • 1
  • Byung-Kwan Lee
    • 2
  • Soon-Ho Kim
    • 3
  1. 1.Dept. of Computer EngineeringSilla UniversityKorea
  2. 2.Dept. of Computer EngineeringKwandong UniversityKorea
  3. 3.Dept. of Automotive Mechanical EngineeringSilla UniversityKorea

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