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Piecewise Polynomial Aggregation as Preprocessing for Data Numerical Modeling
Автор | B, S Dobronets | |
Автор | O, A Popova | |
Дата внесения | 2019-07-01T07:26:03Z | |
Дата, когда ресурс стал доступен | 2019-07-01T07:26:03Z | |
Дата публикации | 2018 | |
Библиографическое описание | B, S Dobronets. Piecewise Polynomial Aggregation as Preprocessing for Data Numerical Modeling [Текст] / S Dobronets B, A Popova O // IOP Conf. Series: Journal of Physics: Conf. Series 1015 (2018): Journal of Physics: Conf. Series. — 2018. — Т. 032028. | |
URI (для ссылок/цитирований) | http://iopscience.iop.org/article/10.1088/1742-6596/1015/3/032028/meta | |
URI (для ссылок/цитирований) | https://elib.sfu-kras.ru/handle/2311/110683 | |
Аннотация | Data aggregation issues for numerical modeling are reviewed in the present study. The authors discuss data aggregation procedures as preprocessing for subsequent numerical modeling. To calculate the data aggregation, the authors propose using numerical probabilistic analysis (NPA). An important feature of this study is how the authors represent the aggregated data. The study shows that the offered approach to data aggregation can be interpreted as the frequency distribution of a variable. To study its properties, the density function is used. For this purpose, the authors propose using the piecewise polynomial models. A suitable example of such approach is the spline. The authors show that their approach to data aggregation allows reducing the level of data uncertainty and significantly increasing the efficiency of numerical calculations. To demonstrate the degree of the correspondence of the proposed methods to reality, the authors developed a theoretical framework and considered numerical examples devoted to time series aggregation | |
Название | Piecewise Polynomial Aggregation as Preprocessing for Data Numerical Modeling | |
Тип | Journal Article | |
Тип | Journal Article Preprint | |
ГРНТИ | 27.41 | |
Дата обновления | 2019-07-01T07:26:03Z | |
DOI | 10.1088/1742-6596/1015/3/032028 | |
Институт | Институт космических и информационных технологий | |
Подразделение | Кафедра систем искусственного интеллекта | |
Журнал | IOP Conf. Series: Journal of Physics: Conf. Series 1015 (2018) | |
Квартиль журнала в Scopus | Q3 | |
Квартиль журнала в Web of Science | без квартиля |