書誌事項
- タイトル別名
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- Retrieval Performance in Complex-valued Synergetic Computer
- フクソ シナジェティックコンピュータ ノ ソウキ セイノウ
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抄録
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
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- 計測自動制御学会論文集
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計測自動制御学会論文集 47 (11), 563-570, 2011
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390001204504867200
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- NII論文ID
- 10030165571
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 023446380
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可