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...

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