| Presentation | 1995/7/27 Quantitative Analysis and Application to Weather Prediction by Newral Networks Ken Yanagino, Shin'ichi Takada, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Atmospheric Phenomina are non-lenear systems. There are posibilities that the initial small defference rapidly develop, as Lorenz pointed out. But, this does not mean disorder. Atmosphere includes various scale phenomena. In Numerical Prediction Model, the non-lenear equations about atmosphere are solved by numerical method using Super Computer. We apply Neural Networks to translate numerical weather prediction to weather prediction. First, we define the condition to be satisfied. Second, we reserch the selected Neural Networks. Third we apply the Neural Networks to weather prediction, and compare with conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural Networks / Weather translation / Weather prediction |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1995/7/27(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) | Quantitative Analysis and Application to Weather Prediction by Newral Networks |
| Sub Title (in English) | |
| Keyword(1) | Neural Networks |
| Keyword(2) | Weather translation |
| Keyword(3) | Weather prediction |
| 1st Author's Name | Ken Yanagino |
| 1st Author's Affiliation | Japan Meteorological Agency, Forecast devision() |
| 2nd Author's Name | Shin'ichi Takada |
| 2nd Author's Affiliation | Japan Meteorological Agency, Forecast devision |
| Date | 1995/7/27 |
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| Volume (vol) | vol.95 |
| Number (no) | 189 |
| Page | pp.pp.- |
| #Pages | 8 |
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