| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 02015 | |
| Number of page(s) | 8 | |
| Section | Food Distribution Management System | |
| DOI | https://doi.org/10.1051/e3sconf/202346002015 | |
| Published online | 11 December 2023 | |
Automation of the process of building a time series model based on formalized expert knowledge
1 Military Space Academy named after A.F. Mozhaisky, 197198 St. Petersburg, Russia
2 Moscow Aviation Institute (National Research University), 125993 Moscow, Russia
* Corresponding author: amsychova@yandex.ru
The article is devoted to the problem of automation of the process of constructing a time series model of the autoregressive type of integrated moving average - Box-Jenkins model. The process of automation is carried out on the basis of the formalized expert knowledge about the joint behavior of graphs of the dependence of the graphs of the autocorrelation and partial autocorrelation functions of a time series values on the magnitude of the delay between sections of the process under study. We used the information about heuristically established relationships between the values of the structural parameters values of the Box-Jenkins model and the peculiarities of behavior changes of the autocorrelation and partial autocorrelation functions. A feature of the proposed method of solving the problem is the use of algorithmically formalized procedures for processing expert knowledge by means of mathematical apparatus of fuzzy set theory.
© The Authors, published by EDP Sciences, 2023
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