Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

Predicting future values of a short time series remains a challenge. Here, the authors propose an auto-reservoir computing framework, which achieved accurate and robust multistep ahead prediction by transforming high-dimensional data into temporal dynamics.

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Detalles Bibliográficos
Autores principales:	Pei Chen, Rui Liu, Kazuyuki Aihara, Luonan Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/35fa33ae9ab44fb5afcd45a755ee15e7
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spelling	oai:doaj.org-article:35fa33ae9ab44fb5afcd45a755ee15e72021-12-02T14:55:15ZAutoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation10.1038/s41467-020-18381-02041-1723https://doaj.org/article/35fa33ae9ab44fb5afcd45a755ee15e72020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18381-0https://doaj.org/toc/2041-1723Predicting future values of a short time series remains a challenge. Here, the authors propose an auto-reservoir computing framework, which achieved accurate and robust multistep ahead prediction by transforming high-dimensional data into temporal dynamics.Pei ChenRui LiuKazuyuki AiharaLuonan ChenNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Pei Chen Rui Liu Kazuyuki Aihara Luonan Chen Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
description	Predicting future values of a short time series remains a challenge. Here, the authors propose an auto-reservoir computing framework, which achieved accurate and robust multistep ahead prediction by transforming high-dimensional data into temporal dynamics.
format	article
author	Pei Chen Rui Liu Kazuyuki Aihara Luonan Chen
author_facet	Pei Chen Rui Liu Kazuyuki Aihara Luonan Chen
author_sort	Pei Chen
title	Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
title_short	Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
title_full	Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
title_fullStr	Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
title_full_unstemmed	Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
title_sort	autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/35fa33ae9ab44fb5afcd45a755ee15e7
work_keys_str_mv	AT peichen autoreservoircomputingformultistepaheadpredictionbasedonthespatiotemporalinformationtransformation AT ruiliu autoreservoircomputingformultistepaheadpredictionbasedonthespatiotemporalinformationtransformation AT kazuyukiaihara autoreservoircomputingformultistepaheadpredictionbasedonthespatiotemporalinformationtransformation AT luonanchen autoreservoircomputingformultistepaheadpredictionbasedonthespatiotemporalinformationtransformation
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Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

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