Cargando…
Forecasting high-dimensional dynamics exploiting suboptimal embeddings
Delay embedding—a method for reconstructing dynamical systems by delay coordinates—is widely used to forecast nonlinear time series as a model-free approach. When multivariate time series are observed, several existing frameworks can be applied to yield a single forecast combining multiple forecasts...
Autores principales: | Okuno, Shunya, Aihara, Kazuyuki, Hirata, Yoshito |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971065/ https://www.ncbi.nlm.nih.gov/pubmed/31959770 http://dx.doi.org/10.1038/s41598-019-57255-4 |
Ejemplares similares
-
Parsimonious description for predicting high-dimensional dynamics
por: Hirata, Yoshito, et al.
Publicado: (2015) -
Forecasting large aftershocks within one day after the main shock
por: Omi, Takahiro, et al.
Publicado: (2013) -
Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots
por: Hirata, Yoshito, et al.
Publicado: (2016) -
Randomly distributed embedding making short-term high-dimensional data predictable
por: Ma, Huanfei, et al.
Publicado: (2018) -
An objective function exploiting suboptimal solutions in metabolic networks
por: Wintermute, Edwin H, et al.
Publicado: (2013)