An approach to predicting based on monitoring data by means of combined situational-inductive modeling (the main idea and expected results)
This approach is proposed to use to predict the behavior of complicated technogenous, ecological and economic systems based on regular monitoring data forming time series by means of simplified models of regression type. The approach uses the idea of decomposition of complex modeling and prediction...
Збережено в:
Видавець: | Інститут телекомунікацій і глобального інформаційного простору НАН України |
---|---|
Дата: | 2019 |
Автор: | |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Інститут телекомунікацій і глобального інформаційного простору НАН України
2019
|
Назва видання: | Математичне моделювання в економіці |
Теми: | |
Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/168506 |
Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
Цитувати: | An approach to predicting based on monitoring data by means of combined situational-inductive modeling (the main idea and expected results) / D.V. Stefanyshyn // Математичне моделювання в економіці. — 2019. — № 4(17). — С. 75-87. — Бібліогр.: 17 назв. — укр. |
Репозиторії
Digital Library of Periodicals of National Academy of Sciences of UkraineРезюме: | This approach is proposed to use to predict the behavior of complicated technogenous, ecological and economic systems based on regular monitoring data forming time series by means of simplified models of regression type. The approach uses the idea of decomposition of complex modeling and prediction tasks by means of regression models based on monitoring data to overcome the excessive structural and parametric uncertainty of real dynamic systems. |
---|