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- Mimura Kazushi
- Graduate School of Information Sciences, Hiroshima City University
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We have applied the generating functional analysis (GFA) to the continuous Hopfield model. We have also confirmed that the GFA predictions in some typical cases exhibit good consistency with computer simulation results. When a retarded self-interaction term is omitted, the GFA result becomes identical to that obtained using the statistical neurodynamics as well as the case of the sequential binary Hopfield model.
収録刊行物
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- Ｊｏｕｒｎａｌ ｏｆ ｔｈｅ Ｐｈｙｓｉｃａｌ Ｓｏｃｉｅｔｙ ｏｆ Ｊａｐａｎ
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Ｊｏｕｒｎａｌ ｏｆ ｔｈｅ Ｐｈｙｓｉｃａｌ Ｓｏｃｉｅｔｙ ｏｆ Ｊａｐａｎ 78 (3), 033001-033001, 2009
一般社団法人 日本物理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204196580992
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- NII論文ID
- 130005437357
- 110007138829
- 210000107689
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- NII書誌ID
- AA00704814
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- ISSN
- 13474073
- 00319015
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- NDL書誌ID
- 10182547
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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
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可
