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.
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Keyword(in English) chaos / time series prediction / event series / event timing
Paper # NLP2001-34
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Conference Information
Committee NLP
Conference Date 2001/7/20(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
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
Date of Issue