Presentation 2002/3/8
Performance Evaluation of Nonlinear Modeling Methods for Event Sizes and Event Timings
Yoshitaka KANNO, Tohru IKEGUCHI,
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Abstract(in English) In order to realize high prediction performance of complex phenomena, we have already proposed a novel nonlinear modeling method, which treats observed phenomena by event sizes and event timings, and we have shown that the method exhibits high prediction accuracy. In this paper, we analyze prediction performance of our method using event series made from mathematical models, and we show plausibility of using event sizes and event timings for prediction of event series.
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Keyword(in English) chaos / time series prediction / event series / event timing
Paper # NLP2001-117
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Conference Information
Committee NLP
Conference Date 2002/3/8(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Evaluation of Nonlinear Modeling Methods for 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 Department of Information and Computer Sciences Graduate School of Science and Technology Saitama University()
2nd Author's Name Tohru IKEGUCHI
2nd Author's Affiliation Department of Information and Computer Sciences Graduate School of Science and Technology Saitama University
Date 2002/3/8
Paper # NLP2001-117
Volume (vol) vol.101
Number (no) 723
Page pp.pp.-
#Pages 8
Date of Issue