| Presentation | 2001/6/22 A Study of Generalization Ability of 3-Layer Recurrent Neural Networks Hiroshi NINOMIYA, Ayako SASAKI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we study generalization ability of 3-layer recurrent neural networks(3LRNN). 3LRNN are composed of the both of the feed-forward the feedback connections. The generalization ability of 3LRNN is compared with one of 3-layer feed-forward neural networks through the computer simulations. It is shown that 3LRNN are not only almost equivalent to 3LFNN but also much superior to one on a certain condition from the viewpoint of the generalization capability. Furthermore, we investigate the generalization ability of 3LRNN with the neurons that have the step functions as the transfer functions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 3-layer recurrent neural networks / Feedback connections / Generalization ability |
| Paper # | NC2001-31 |
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| Committee | NC |
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| Conference Date | 2001/6/22(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) | A Study of Generalization Ability of 3-Layer Recurrent Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | 3-layer recurrent neural networks |
| Keyword(2) | Feedback connections |
| Keyword(3) | Generalization ability |
| 1st Author's Name | Hiroshi NINOMIYA |
| 1st Author's Affiliation | Department of Information Science, Faculty of Engineering, Shonan Institute of Technology() |
| 2nd Author's Name | Ayako SASAKI |
| 2nd Author's Affiliation | Department of Information Science, Faculty of Engineering, Shonan Institute of Technology |
| Date | 2001/6/22 |
| Paper # | NC2001-31 |
| Volume (vol) | vol.101 |
| Number (no) | 154 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |