Predicting future dynamics from short-term time series using an Anticipated Learning Machine

Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can t...

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Detalles Bibliográficos
Autores principales: Chen, Chuan, Li, Rui, Shu, Lin, He, Zhiyu, Wang, Jining, Zhang, Chengming, Ma, Huanfei, Aihara, Kazuyuki, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
INFORMATION SCIENCE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288952/
https://www.ncbi.nlm.nih.gov/pubmed/34692127
http://dx.doi.org/10.1093/nsr/nwaa025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288952/
https://www.ncbi.nlm.nih.gov/pubmed/34692127
http://dx.doi.org/10.1093/nsr/nwaa025

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