Growing Grid with False-Neighbor Degree

نویسندگان

  • Haruna Matsushita
  • Yoshifumi Nishio
چکیده

We apply the self-organization considering falseneighbor degree to the fine-tuning of Growing Grid after the growth process is finished. This study proposes a Growing Grid with False-Neighbor degree (FN-GG). We confirm that FN-GG can self-organize the input data, which is in a rectangular input space, most effectively.

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تاریخ انتشار 2008