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...
Main Authors: | Vasilii A. Gromov, Yury N. Beschastnov, Korney K. Tomashchuk |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-03-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1254.pdf |
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