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タイトル: | A Study of Chaos Synergetic Neural Network(Session II : Chaos, The 1st Tohwa University International Meeting on Statistical Physics Theories, Experiments and Computer Simulations) |
著者: | Nakagawa, Masahiro |
キーワード: | chaos synergetics periodic mapping chaotic retrieval associative memory |
発行日: | 20-Jun-1996 |
出版者: | 物性研究刊行会 |
誌名: | 物性研究 |
巻: | 66 |
号: | 3 |
開始ページ: | 468 |
終了ページ: | 469 |
抄録: | In this work we shall put forward a novel synergetic neural network involving a chaos dynamics and investigate the dynamic properties in memory retrieval process. The present artificial neuron model is characterized by a sinusoidal activation function as well as competitive nonlinear connections between synergetic neurons. It is elucidated that the present neural network has an advantage in the dynamic memory retrievals beyond the conventional chaotic model with such a monotonous mapping as a sigmoid function. This finding is considered to result from both the nonmonotonous property of the analogue periodic mapping which may be accompanied with a chaotic behaviour of the neurons and the synergetic connections related to the competition between the overlaps. It is also shown that the present analogue neural network may be reduced to the previously proposed synergetic neural network if one assumes an identity mapping in the feedback loop instead of the periodic one. |
記述: | この論文は国立情報学研究所の電子図書館事業により電子化されました。 |
URI: | http://hdl.handle.net/2433/95807 |
出現コレクション: | Vol.66 No.3 |
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