Presentation | 2001/7/20 Nonlinear Modeling Using Information of Event Sizes and Event Timings Yoshitaka Kanno, Tohru Ikeguchi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a new concept of modeling possible chaotic phenomena produced from nonlinear and nonequilibrium dynamical systems in order to realize high prediction accuracy. Our method considers two aspects of complex phenomena, event sizes and event timings. We compare the prediction perfomance of our methods and the traditional method. As a result, we get the availability of our method for modeling complex time series. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / time series prediction / event series / event timing |
Paper # | NLP2001-34 |
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Committee | NLP |
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Conference Date | 2001/7/20(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Nonlinear Modeling Using Information of Event Sizes and Event Timings |
Sub Title (in English) | |
Keyword(1) | chaos |
Keyword(2) | time series prediction |
Keyword(3) | event series |
Keyword(4) | event timing |
1st Author's Name | Yoshitaka Kanno |
1st Author's Affiliation | Graduate School of Science and Technology, Department of Information and Computer Sciences, Saitama University() |
2nd Author's Name | Tohru Ikeguchi |
2nd Author's Affiliation | Graduate School of Science and Technology, Department of Information and Computer Sciences, Saitama University:Graduate School of Science and Technology, Department of Information and Mathematical Sciences, Saitama University |
Date | 2001/7/20 |
Paper # | NLP2001-34 |
Volume (vol) | vol.101 |
Number (no) | 229 |
Page | pp.pp.- |
#Pages | 8 |
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