75638

Автор(ы): 

Семенков К. В. (ИПУ РАН, Лаборатория 31)
Промыслов Г. В. (ИПУ РАН, Лаборатория 90) НЕАКТУАЛЬНАЯ ЗАПИСЬ

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Quantitative Criteria for Classification of Small-World Networks for Industrial Systems

Электронная публикация: 

Да

ISBN/ISSN: 

979-8-3503-3790-7

DOI: 

10.1109/MLSD58227.2023.10303950

Наименование конференции: 

  • 2023 16th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

https://ieeexplore.ieee.org/abstract/document/10303950
Аннотация
The paper examines the possibility of recognizing systems with the topology of small-world networks without a detailed analysis of their topological properties. For this, image recognition and machine learning methods are used. The conducted research allows us to conclude that recognition with learning gives better results in the correct classification of the small-world networks.

Библиографическая ссылка: 

Семенков К.В., Промыслов Г.В. Quantitative Criteria for Classification of Small-World Networks for Industrial Systems / Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2023. С. https://ieeexplore.ieee.org/abstract/document/10303950.