A Fuzzy-Like Phenomenon in Chaotic Autoassociative Memory
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概要
- 論文の詳細を見る
A fuzzy-like phenomenon is observed in a chaotic neural network operating as dynamic autoassociative memory. When an external stimulation with properties shared by two stored patterns is applied to the chaotic neural network, the output of the network transits between the two patterns. The ratio of the network visiting two stored patterns is dependent on the ratio of the Hamming distances between the external stimulation and the two stored patterns. This phenomenon is similar to the human decision-making process, which can be described by fuzzy set theory. Here, we analyze the fuzzy-like phenomenon from the viewpoint of the fuzzy set theory.
- 社団法人電子情報通信学会の論文
- 2002-03-01
著者
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Aihara Kazuyuki
Crest Jst.
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WANG Zhijie
Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, the
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Aihara Kazuyuki
Crest Japan Science And Technology Corporation (jst)
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Wang Zhijie
Department Of Mathematical Engineering And Information Physics Graduate School Of Engineering The Un
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Wang Zhijie
Department Of Mathematical Engineering And Information Physics Graduate School Of Engineering The Un
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Wang Zhijie
Department of Electrical Engineering, Dong Hua University, Shanghai, 200051, People's Republic of China
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