Presentation 2012-07-06
Online medium-term time series prediction Evaluation of prediction accuracy
Yoshito HIRATA, Taiji YAMADA, Jun TAKAHASHI, Hideyuki SUZUKI,
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Abstract(in English) We propose a method for constructing multi-step predictions and evaluating the predition errors in advance. The proposed method is an extension of Kwasniok and Smith (2004). We compared the proposed method with the time-varying linear Kalman filter. We show that the proposed method is better in terms of prediction accurary as well as computational time.
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Keyword(in English) time series prediction / online prediction / multi-step prediction / prediction errors
Paper # NLP2012-51
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Conference Information
Committee NLP
Conference Date 2012/6/28(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Online medium-term time series prediction Evaluation of prediction accuracy
Sub Title (in English)
Keyword(1) time series prediction
Keyword(2) online prediction
Keyword(3) multi-step prediction
Keyword(4) prediction errors
1st Author's Name Yoshito HIRATA
1st Author's Affiliation Institute of Industrial Science, The University of Tokyo()
2nd Author's Name Taiji YAMADA
2nd Author's Affiliation Aihara Electrical Engineering Co. Ltd.
3rd Author's Name Jun TAKAHASHI
3rd Author's Affiliation Aihara Electrical Engineering Co. Ltd.
4th Author's Name Hideyuki SUZUKI
4th Author's Affiliation Institute of Industrial Science, The University of Tokyo
Date 2012-07-06
Paper # NLP2012-51
Volume (vol) vol.112
Number (no) 117
Page pp.pp.-
#Pages 3
Date of Issue