| Presentation | 1998/3/20 Dynamical Learning of Neural Network Based on Chaotic Dynamics Kazuhiro KOJIMA, Koji ITO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A binary pattern learning model based on dynamical interaction with environments is proposed. The memory system in this model is composed of large and low degree of freedom modules. The former is associative memory, the latter is order variable. Evolutional equations for this system is derived from Lorentz equation. Computer simulations show following three matters. First, variety of output patterns can change, when a parameter of order variables changes in above equations. Second, the state of the system becomes"I don't know"state, when an unknown pattern is given to the system. Third, according to the progress of the learning, the state turns from a chaotic state to a periodic state. It means that a order is formed with the learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Associative Memory / Chaotic Dynamics / Lorentz Equation / Order Variable |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamical Learning of Neural Network Based on Chaotic Dynamics |
| Sub Title (in English) | |
| Keyword(1) | Associative Memory |
| Keyword(2) | Chaotic Dynamics |
| Keyword(3) | Lorentz Equation |
| Keyword(4) | Order Variable |
| 1st Author's Name | Kazuhiro KOJIMA |
| 1st Author's Affiliation | Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology() |
| 2nd Author's Name | Koji ITO |
| 2nd Author's Affiliation | Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology |
| Date | 1998/3/20 |
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| Volume (vol) | vol.97 |
| Number (no) | 624 |
| Page | pp.pp.- |
| #Pages | 8 |
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