Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN

Yoko UWATE; Yoshifumi NISHIO; Akio USHIDA

Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN

Yoko UWATE, Yoshifumi NISHIO, Akio USHIDA

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In this study, a modeling method of the intermittency chaos using the Markov chain is proposed. The performances of the intermittency chaos and the Markov chain model are investigated when they are injected to the Hopfield Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show that the proposed modeling is good enough to gain similar performance of the intermittency chaos.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.4 pp.774-779

Publication Date: 2004/04/01

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Type of Manuscript: Special Section PAPER (Special Section on Selected Papers from the 16th Workshop on Circuits and Systems in Karuizawa)

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Yoko UWATE, Yoshifumi NISHIO, Akio USHIDA, "Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN" in IEICE TRANSACTIONS on Fundamentals, vol. E87-A, no. 4, pp. 774-779, April 2004, doi: .
Abstract: In this study, a modeling method of the intermittency chaos using the Markov chain is proposed. The performances of the intermittency chaos and the Markov chain model are investigated when they are injected to the Hopfield Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show that the proposed modeling is good enough to gain similar performance of the intermittency chaos.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e87-a_4_774/_p

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@ARTICLE{e87-a_4_774,
author={Yoko UWATE, Yoshifumi NISHIO, Akio USHIDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN},
year={2004},
volume={E87-A},
number={4},
pages={774-779},
abstract={In this study, a modeling method of the intermittency chaos using the Markov chain is proposed. The performances of the intermittency chaos and the Markov chain model are investigated when they are injected to the Hopfield Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show that the proposed modeling is good enough to gain similar performance of the intermittency chaos.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 774
EP - 779
AU - Yoko UWATE
AU - Yoshifumi NISHIO
AU - Akio USHIDA
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2004
AB - In this study, a modeling method of the intermittency chaos using the Markov chain is proposed. The performances of the intermittency chaos and the Markov chain model are investigated when they are injected to the Hopfield Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show that the proposed modeling is good enough to gain similar performance of the intermittency chaos.
ER -