| Presentation | 2000/10/13 Stochastic Resonance in Hopfield-type Memory Model Naofumi KATADA, Haruhiko NISHIMURA, Kazuyuki AIHARA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Stochastic resonance(SR) is known as a phenomenon in which the presence of noise helps a nonlinear sytem in amplifying a weak(under barrier)signal. In this paper, we investigate how SR behavior can be observed in autoassociative neural networks with the Hopfield-type memory under the stochastic dynamics. We focus on SR responses in two systems which consist of three and 156 neurons. These cases are considered as an effective double-well model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | stochastic resonance / noise / neural network / Hopfield-type memory |
| Paper # | NLP2000-75 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2000/10/13(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) | Stochastic Resonance in Hopfield-type Memory Model |
| Sub Title (in English) | |
| Keyword(1) | stochastic resonance |
| Keyword(2) | noise |
| Keyword(3) | neural network |
| Keyword(4) | Hopfield-type memory |
| 1st Author's Name | Naofumi KATADA |
| 1st Author's Affiliation | Studies of Information Science, Hyogo University of Education() |
| 2nd Author's Name | Haruhiko NISHIMURA |
| 2nd Author's Affiliation | Studies of Information Science, Hyogo University of Education |
| 3rd Author's Name | Kazuyuki AIHARA |
| 3rd Author's Affiliation | Department of Mathematical Engineering and Information Physics, Graduate School of Engineering, The University of Tokyo.:CREST, Japan Science and Technology Corporation |
| Date | 2000/10/13 |
| Paper # | NLP2000-75 |
| Volume (vol) | vol.100 |
| Number (no) | 381 |
| Page | pp.pp.- |
| #Pages | 8 |
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