Situational-event model of the hybrid patterns recognition for heterogeneous data processing in complex systems
In the article represented the new situational-event model of hybrid patterns recognition. This model based on representation a heterogeneous data of a complex system in the form of patterns set, sets of external conditions characteristics as manifestations of a current situation, a static component...
Збережено в:
| Дата: | 2019 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут телекомунікацій і глобального інформаційного простору НАН України
2019
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| Назва видання: | Математичне моделювання в економіці |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/168501 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Situational-event model of the hybrid patterns recognition for heterogeneous data processing in complex systems / O.I. Zakhozhay // Математичне моделювання в економіці. — 2019. — № 4(17). — С. 16-25. — Бібліогр.: 26 назв. — англ. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | In the article represented the new situational-event model of hybrid patterns recognition. This model based on representation a heterogeneous data of a complex system in the form of patterns set, sets of external conditions characteristics as manifestations of a current situation, a static component of a situation - in the form of stationary informativity characteristics, a dynamic component in the form of a nonstationary informativity characteristics and the set of classes as recognitions result. The developed model using provides a priory level of classification reliability, based on analysis of a smaller set but the most informative signs. |
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