Presentation | 2012-07-06 Online medium-term time series prediction Evaluation of prediction accuracy Yoshito HIRATA, Taiji YAMADA, Jun TAKAHASHI, Hideyuki SUZUKI, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | time series prediction / online prediction / multi-step prediction / prediction errors |
Paper # | NLP2012-51 |
Date of Issue |
Conference Information | |
Committee | NLP |
---|---|
Conference Date | 2012/6/28(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
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) | 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 |