An adaptive fuzzy rule extraction using hybrid model of the fuzzy self-organizing map and the genetic algorithm with numerical chromosomes

نویسندگان

  • Tatsuya Nomura
  • Tsutomu Miyoshi
چکیده

In this paper, we propose a hybrid model of the fuzzi-ed Kohonen's Self-Organizing Map and the GA with numerical chromosomes, and automatic fuzzy rule extraction method that uses our model. It is shown that our hybrid model is superior to both of the individual models in cases where there is a tendency for data to change dynamically and quickly.

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عنوان ژورنال:
  • Journal of Intelligent and Fuzzy Systems

دوره 6  شماره 

صفحات  -

تاریخ انتشار 1998