Presentation | 2003/11/15 Analysis of Input Power of Control of Assosiative Chaotic Neural Networks for Aperiodic Using Reinforcement Learning Norihisa SATO, Masaharu ADACHI, Makoto KOTANI, |
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Abstract(in English) | An anti-control of associative chaotic neural networks using reinforcement learning has been proposed and an example of successful control has been shown. However it has not been reported about actual control inputs in detail. Therefore in this article, we analyze time series of control inputs that are determined by the state-action value function obtained by the Q-learning. As a result, it is found that transition frequency among control input values tends to be uniformly distributed when the anti-control succeeds. On the other hand, the distribution tends to concentrate to certain combinations of the input values when it fails. However, we can not find any simple relationship between the learning time and success rate of the anti-control. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | anti-control of chaos / reinforcement lerning / chaotic neural networks |
Paper # | NLP2003-126 |
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Committee | NLP |
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Conference Date | 2003/11/15(1days) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Input Power of Control of Assosiative Chaotic Neural Networks for Aperiodic Using Reinforcement Learning |
Sub Title (in English) | |
Keyword(1) | anti-control of chaos |
Keyword(2) | reinforcement lerning |
Keyword(3) | chaotic neural networks |
1st Author's Name | Norihisa SATO |
1st Author's Affiliation | Department of Electronic Engineering,Graduate School of Engineering. Tokyo Denki University() |
2nd Author's Name | Masaharu ADACHI |
2nd Author's Affiliation | Department of Electronic Engineering,Graduate School of Engineering. Tokyo Denki University |
3rd Author's Name | Makoto KOTANI |
3rd Author's Affiliation | Department of Electronic Engineering,Graduate School of Engineering. Tokyo Denki University |
Date | 2003/11/15 |
Paper # | NLP2003-126 |
Volume (vol) | vol.103 |
Number (no) | 464 |
Page | pp.pp.- |
#Pages | 6 |
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