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Markov Chain Modeling of Intermittency Chaos and Its Application to Hopfield NN
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- UWATE Yoko
- Department of Electrical and Electronic Engineering, Tokushima University
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- NISHIO Yoshifumi
- Department of Electrical and Electronic Engineering, Tokushima University
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- USHIDA Akio
- Department of Mechanical-Electronic Engineering, Tokushima Bunri University
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Description
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 Hop field Neural Network for a quadratic assignment problem or an associative memory. Computer simulated results show thatthe proposed m odeling is good enough to gain similar performance of the intermittency chaos.
Journal
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- IEICE Transactions on Fundamentals, A
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IEICE Transactions on Fundamentals, A 87 (4), 774-779, 2004-04-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1572543027348453632
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- NII Article ID
- 110003212960
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- NII Book ID
- AA10826239
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- ISSN
- 09168508
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- Text Lang
- en
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- Data Source
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- CiNii Articles