CHAOSOM: Collaboration between Chaos and Self-Organizing Map

نویسندگان

  • Haruna Matsushita
  • Yoshifumi Nishio
چکیده

In this study, we try to implant chaotic features into the learning algorithm of self-organizing map. We call this concept as Chaotic SOM (CHAOSOM). As a first step to realize CHAOSOM, we consider the case that learning rate and neighboring coefficient of SOM are refreshed by chaotic pulses generated by the Hodgkin-Huxley equation. We apply the CHAOSOM to solve a traveling salesman problem and confirm that the chaotic feature improves the performance. keywords: self-organizing map, chaos, Hodgkin-Huxley equation, traveling salesman problem

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تاریخ انتشار 2006