| Autor: |
Alexander Musaev, Andrey Makshanov, Dmitry Grigoriev |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Computation, Vol 9, Iss 10, p 110 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2079-3197 |
| DOI: |
10.3390/computation9100110 |
| Popis: |
Predicting the state of a dynamic system influenced by a chaotic immersion environment is an extremely difficult task, in which the direct use of statistical extrapolation computational schemes is infeasible. This paper considers a version of precedent forecasting in which we use the aftereffects of retrospective observation segments that are similar to the current situation as a forecast. Furthermore, we employ the presence of relatively stable correlations between the parameters of the immersion environment as a regularizing factor. We pay special attention to the choice of similarity measures or distances used to find analog windows in arrays of retrospective multidimensional observations. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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