| Presentation | 1997/12/12 Geometrical Analysis of Neural Networks with Asymmetric Weight Hideki Kakeya, Yoichi Okabe, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the present paper the geometrical method based on the eigenspace analysis is applied to analyze the dynamics of neural networks with asymmetric weight, matrices. Crosscorrelational associative memory and random networks are investigated and complex dynamical behavior is explained from the geometrical viewpoint. Nonmonotonic dynamics for asymmetric networks are proposed based on the geometrical discussion. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neuro-dynamics / asymmetric matrix / eigenspace analysis / crosscorrelational associative memory / random network / nonmonotonic dynamics |
| Paper # | NC97-57 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/12/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Geometrical Analysis of Neural Networks with Asymmetric Weight |
| Sub Title (in English) | |
| Keyword(1) | neuro-dynamics |
| Keyword(2) | asymmetric matrix |
| Keyword(3) | eigenspace analysis |
| Keyword(4) | crosscorrelational associative memory |
| Keyword(5) | random network |
| Keyword(6) | nonmonotonic dynamics |
| 1st Author's Name | Hideki Kakeya |
| 1st Author's Affiliation | Research Center for Advanced Science and Technology, University of Tokyo() |
| 2nd Author's Name | Yoichi Okabe |
| 2nd Author's Affiliation | Research Center for Advanced Science and Technology, University of Tokyo |
| Date | 1997/12/12 |
| Paper # | NC97-57 |
| Volume (vol) | vol.97 |
| Number (no) | 448 |
| Page | pp.pp.- |
| #Pages | 8 |
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