The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un phénomène de type flou est observé dans un réseau neuronal chaotique fonctionnant comme une mémoire auto-associative dynamique. Lorsqu'une stimulation externe ayant des propriétés partagées par deux modèles stockés est appliquée au réseau neuronal chaotique, la sortie du réseau transite entre les deux modèles. Le rapport du réseau visitant deux modèles stockés dépend du rapport des distances de Hamming entre la stimulation externe et les deux modèles stockés. Ce phénomène est similaire au processus de prise de décision humain, qui peut être décrit par la théorie des ensembles flous. Ici, nous analysons le phénomène de type flou du point de vue de la théorie des ensembles flous.
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Zhijie WANG, Kazuyuki AIHARA, "A Fuzzy-Like Phenomenon in Chaotic Autoassociative Memory" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 3, pp. 714-722, March 2002, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_3_714/_p
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@ARTICLE{e85-a_3_714,
author={Zhijie WANG, Kazuyuki AIHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fuzzy-Like Phenomenon in Chaotic Autoassociative Memory},
year={2002},
volume={E85-A},
number={3},
pages={714-722},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - A Fuzzy-Like Phenomenon in Chaotic Autoassociative Memory
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 714
EP - 722
AU - Zhijie WANG
AU - Kazuyuki AIHARA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2002
AB - 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.
ER -