複素シナジェティックコンピュータの想起性能 Retrieval Performance in Complex-valued Synergetic Computer

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Synergetic Computer (SC) is a type of self-organizing computation system and has widely used for pattern recognition and/or classification problems. In the conventional SC, the order parameter is usually encoded by real values, which determines internal states. In encoding the information of images, however, the use of complex or hyper-complex values is expected to achieve the outperformance. In this paper, we propose Complex-valued synergetic computer (CVSC) where the order parameter is encoded by complex values. We further investigate the performances of our proposed CVSC through the recognition of gray-scale images, by comparing with the conventional Real-valued synergetic computer (RVSC).

収録刊行物

  • 計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers

    計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers 47(11), 563-570, 2011-11-30

    The Society of Instrument and Control Engineers

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各種コード

  • NII論文ID(NAID)
    10030165571
  • NII書誌ID(NCID)
    AN00072392
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    04534654
  • NDL 記事登録ID
    023446380
  • NDL 請求記号
    Z14-482
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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