Time series analysis with dynamic law exploration
Artificial Intelligence
2021-04-23 v1 Machine Learning
Abstract
In this paper we examine, how the dynamic laws governing the time evolution of a time series can be identified. We give a finite difference equation as well as a differential equation representation for that. We also study, how the required symmetries, like time reversal can be imposed on the laws. We study the compression performance of linear laws on sound data.
Cite
@article{arxiv.2104.10970,
title = {Time series analysis with dynamic law exploration},
author = {A. Jakovac},
journal= {arXiv preprint arXiv:2104.10970},
year = {2021}
}
Comments
17 pages, 6 figures