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  1. B. 理工学域; 数物科学類・物質化学類・機械工学類・フロンティア工学類・電子情報通信学類・地球社会基盤学類・生命理工学類
  2. b 10. 学術雑誌掲載論文
  3. 1.査読済論文(工)

A model of dynamic associative memory

http://hdl.handle.net/2297/6839
http://hdl.handle.net/2297/6839
d0266245-f317-4d29-be70-9b756db9b30a
名前 / ファイル ライセンス アクション
TE-PR-NAKAYAMA-K-804.pdf TE-PR-NAKAYAMA-K-804.pdf (578.0 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2017-10-03
タイトル
タイトル A model of dynamic associative memory
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Kobori, Hideki

× Kobori, Hideki

WEKO 10157

Kobori, Hideki

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Ikeda, Kazushi

× Ikeda, Kazushi

WEKO 10158

Ikeda, Kazushi

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Nakayama, Kenji

× Nakayama, Kenji

WEKO 353
e-Rad 00207945
研究者番号 00207945

Nakayama, Kenji

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提供者所属
内容記述タイプ Other
内容記述 金沢大学理工研究域電子情報学系
書誌情報 IEEE International Conference on Neural Networks - Conference Proceedings

p. 804-809, 発行日 1996-06-01
ISSN
収録物識別子タイプ ISSN
収録物識別子 1098-7576
出版者
出版者 IEEE(Institute of Electrical and Electronics Engineers)
抄録
内容記述タイプ Abstract
内容記述 A model of dynamic associative memories is proposed in this paper. The aim is to find all stored patterns, and to distinguish the stored and the spurious patterns. Aihara used chaotic neurons and showed that his model has a nonperiodic associative dynamics. In his model, however, it is difficult to distinguish the stored patterns from the others, because the state of the network changes continually. We propose such a new model of neurons that each neuron changes its output to the other when the accumulation of its internal state exceeds a certain threshold. By computer experiments, we show that the state of the network stays at the stored pattern for a while and then travels around to another pattern, and so on. Furthermore, when the number of the stored patterns is small, the stored and the spurious patterns can be distinguished using interval of the network staying these patterns.
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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