Transformerによる時系列予測

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Summary, etc.：: <p>Time series prediction is important regardless of whether it is univariate or multivariate, and univariate ARIMA to multivariate autoregressive mod...

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Material Type: 記事
Title: Transformerによる時系列予測
Volume: JSAI2020
0
Author/Editor: 本田良司
小笠原範光
小玉亮
Author Heading: HONDA Ryoji
本田良司
OGASAWARA Norimitsu
小笠原範光
KODAMA Ryo
小玉亮
Publication Date: 2020
Publication Date (W3CDTF): 2020
Alternative Title: Time Series Prediction by Transformer
Periodical title: 人工知能学会全国大会論文集
Proceedings of the Annual Conference of JSAI
No. or year of volume/issue: JSAI2020 0
Volume: JSAI2020
Issue: 0
Pages: 1N4GS1301-1N4GS1301
ISSN (Periodical Title): 2758-7347
Alias of Author: HONDA Ryoji
OGASAWARA Norimitsu
KODAMA Ryo
Subject Heading: Data Assimilation
Weather Prediction
Newral Network
Multivariate Time Series
Transformer
データ同化
気象予測
ニューラルネットワーク
多変量時系列
トランスフォーマー
Target Audience: 一般
DOI: 10.11517/pjsai.JSAI2020.0_1N4GS1301
Access Restrictions: インターネット公開
Data Provider (Database): 科学技術振興機構 : J-STAGE
http://www.jstage.jst.go.jp