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Generalized relational tensors for chaotic time series
The article deals with a generalized relational tensor, a novel discrete structure to store information about a time series, and algorithms (1) to fill the structure, (2) to generate a time series from the structure, and (3) to predict a time series. The algorithms combine the concept of generalized...
Autores principales: | A. Gromov, Vasilii, Beschastnov, Yury N., Tomashchuk, Korney K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280504/ https://www.ncbi.nlm.nih.gov/pubmed/37346716 http://dx.doi.org/10.7717/peerj-cs.1254 |
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