Prediction of hierarchical time series using structured regularization and its application to artificial neural networks

Tomokaze Shiratori; Ken Kobayashi; Yuichi Takano

doi:10.1371/journal.pone.0242099

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Open Access

Peer-reviewed

Research Article

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks

Tomokaze Shiratori,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan
⨯
Ken Kobayashi ,

Roles Conceptualization, Methodology, Writing – review & editing

* E-mail: ken-kobayashi@fujitsu.com

Affiliation Artificial Intelligence Laboratory, Fujitsu Laboratories Ltd., Kawasaki, Kanagawa, Japan

https://orcid.org/0000-0002-6609-7488

⨯
Yuichi Takano

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

Affiliation Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan
⨯

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks

Tomokaze Shiratori,
Ken Kobayashi,
Yuichi Takano

Published: November 12, 2020
https://doi.org/10.1371/journal.pone.0242099

About the Authors

Tomokaze Shiratori

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan

Ken Kobayashi

Roles Conceptualization, Methodology, Writing – review & editing

* E-mail: ken-kobayashi@fujitsu.com

Affiliation Artificial Intelligence Laboratory, Fujitsu Laboratories Ltd., Kawasaki, Kanagawa, Japan

https://orcid.org/0000-0002-6609-7488

Yuichi Takano

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

Affiliation Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan

Competing Interests

KK is an employee of Fujitsu Laboratories Ltd. but this does not alter our adherence to PLOS ONE policies on sharing data and materials.

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Forecasting
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Linear regression analysis
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