| Presentation | 2014-01-21 Dynamics of Chaotic Neural Network with two Types of Initial Conditions M. ASANO, J. KUROIWA, T. ODAKA, I. SUWA, H. SHIRAI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we investigate dynamics of non-autonomous chaotic neural network model. We have shown that the non-autonomous isolated chaotic neuron model with a time-dependent system parameter gives attractor coexistence phenomena depending on initial configurations of the system. However, it is still unknown the dynamics of non-autonomous chaotic neural network model with a time-dependent system parameter. Therefore, in this paper, we introduce time-dependent system parameter into Adachi& Aihara chaotic neural network model with association recalling dynamics. Consequently, the model includes two type of dependencies of initial conditions, originating in (i) synaptic connections and in (ii) the time-dependent system parameter. The purposes of this study are to investigate the dynamics of the time-dependent system parameter, and to show whether the two types of dependencies of initial conditions coexist or not. From computer experiments, the two types of dependencies can coexist in the model. For an parameter region, the output of the model reveals period 6 or chaos depending on initial configurations, originating in the time-dependent system parameter. On the other hands, for a different initial configurations, the model gives different period 6 or chaotic response. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | chaotic neural network / dependence of initial conditions / attractor coexistance / time-dependent parameter |
| Paper # | NLP2013-141 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2014/1/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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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) | Dynamics of Chaotic Neural Network with two Types of Initial Conditions |
| Sub Title (in English) | |
| Keyword(1) | chaotic neural network |
| Keyword(2) | dependence of initial conditions |
| Keyword(3) | attractor coexistance |
| Keyword(4) | time-dependent parameter |
| 1st Author's Name | M. ASANO |
| 1st Author's Affiliation | Graduate School of Engineering, University of Fukui() |
| 2nd Author's Name | J. KUROIWA |
| 2nd Author's Affiliation | Graduate School of Engineering, University of Fukui |
| 3rd Author's Name | T. ODAKA |
| 3rd Author's Affiliation | Graduate School of Engineering, University of Fukui |
| 4th Author's Name | I. SUWA |
| 4th Author's Affiliation | Graduate School of Engineering, University of Fukui |
| 5th Author's Name | H. SHIRAI |
| 5th Author's Affiliation | Technology Division, Faculty of Engineering, University of Fukui |
| Date | 2014-01-21 |
| Paper # | NLP2013-141 |
| Volume (vol) | vol.113 |
| Number (no) | 383 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |