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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
동적 자동 연상 메모리로 작동하는 혼란스러운 신경망에서 퍼지 같은 현상이 관찰됩니다. 저장된 두 패턴이 공유하는 속성을 가진 외부 자극이 카오스 신경망에 적용되면 네트워크의 출력이 두 패턴 사이를 이동합니다. 저장된 두 패턴을 방문하는 네트워크의 비율은 외부 자극과 저장된 두 패턴 사이의 해밍 거리 비율에 따라 달라집니다. 이 현상은 퍼지 집합 이론으로 설명할 수 있는 인간의 의사 결정 과정과 유사합니다. 여기서는 퍼지 집합론의 관점에서 퍼지 유사 현상을 분석한다.
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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},}
부
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 -