Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A New Fuzzy Supervised Learning Algorithm

  • Kim, Kwang-Baek (Major in Computer Engineering, Division of Computer Information Engineering, Silla University) ;
  • Yuk, Chang-Keun (Department of Computer Science, Pusan National University) ;
  • Cha, Eui-Young (Department of Computer Science, Pusan National University)
  • Published : 1998.06.01
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Abstract

In this paper, we proposed a new fuzzy supervised learning algorithm. We construct, and train, a new type fuzzy neural net to model the linear activation function. Properties of our fuzzy neural net include : (1) a proposed linear activation function ; and (2) a modified delta rule for learning algorithm. We applied this proposed learning algorithm to exclusive OR,3 bit parity using benchmark in neural network and pattern recognition problems, a kind of image recognition.

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