| Presentation | 2002/12/13 Prediction by the stochastic differential equation equivalent to chaos. Shinya WAKASA, Hiroshi TAKAHASHI, Ikuo MATSUBA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the chaos model, the delay time and the embedding dimensionality that were found by neighborhood vector reconstitute embedding vector. When we try to predict a phenomenon by chaos model, the case exists that the results are different from deterministic expectancy. So this research tries to accurate prediction using new method to transform chaos model into equivalent probabilistic system. This probabilistic system is composed defined term and noise term. We challenge to reduce the prediction error due to delete this noise term. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Chaos / Prediction / Stochastic differential equation |
| Paper # | NLP2002-90 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2002/12/13(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) | Prediction by the stochastic differential equation equivalent to chaos. |
| Sub Title (in English) | |
| Keyword(1) | Chaos |
| Keyword(2) | Prediction |
| Keyword(3) | Stochastic differential equation |
| 1st Author's Name | Shinya WAKASA |
| 1st Author's Affiliation | Graduate School of Science and Technology, Intelligence Information Seience Chiba University() |
| 2nd Author's Name | Hiroshi TAKAHASHI |
| 2nd Author's Affiliation | Graduate School of Science and Technology, Intelligence Information Seience Chiba University |
| 3rd Author's Name | Ikuo MATSUBA |
| 3rd Author's Affiliation | Department of Information and Image Science, Chiba University |
| Date | 2002/12/13 |
| Paper # | NLP2002-90 |
| Volume (vol) | vol.102 |
| Number (no) | 536 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |