講演名 | 1998/3/13 Chaos Associative Memory with a Periodic Activation Function , |
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抄録(和) | |
抄録(英) | In this paper we shall propose a novel chaos neural network model applied to the chaotic autoassociation memory. The present artificial neuron model is properly characterized in terms of a time-dependent periodic activation function to involve a chaotic dynamics as well as the energy steepest descent strategy. It is elucidated that the present neural network has a remarkable ability of the dynamic memory retrievals beyond the conventional models with the nonmonotonous activation function as well as such a monotonous activation function as sigmoidal one. This advantage is found to result from the property of the analogue periodic mapping accompanied with a chaotic behaviour of the neurons. It is also concluded that present analogue neuron model with the periodicity control has an apparently large memory capacity in comparison with the previously proposed association models. |
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キーワード(英) | chaos neuron / periodic mapping / associative memory |
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研究会情報 | |
研究会 | NLP |
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開催期間 | 1998/3/13(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Nonlinear Problems (NLP) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | Chaos Associative Memory with a Periodic Activation Function |
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キーワード(1)(和/英) | / chaos neuron |
第 1 著者 氏名(和/英) | / MASAHIRO NAKAGAWA |
第 1 著者 所属(和/英) | Nagaoka University of Technology |
発表年月日 | 1998/3/13 |
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巻番号(vol) | vol.97 |
号番号(no) | 592 |
ページ範囲 | pp.- |
ページ数 | 8 |
発行日 |