42779

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Тезисы доклада

Название: 

Application of machine learning methods for modeling and calculation of queuing networks

Наименование конференции: 

  • The 10th International Conference on Mathematical Methods in Reliability (MMR 2017, Grenoble, France)

Наименование источника: 

  • Abstracts of The 10th International Conference on Mathematical Methods in Reliability (MMR 2017, Grenoble, France)

Город: 

  • Grenoble

Издательство: 

  • Grenoble INP, Univ. Grenoble Alpes

Год издания: 

2017

Страницы: 

95
Аннотация
Machine learning have achieved great success in solving problems in a wide variety of fields. Interestingly, the machine learning methods can be employed to solve queuing problems. One such approach is proposed in this paper. At this moment, we point out the following advantages of this approach: it is possible to calculate flows with an arbitrary distribution, and probably make calculations faster in comparison with simulation modeling.

Библиографическая ссылка: 

Абраменков А.Н., Фархадов М.П., Петухова Н.В., Степанова Н.В. Application of machine learning methods for modeling and calculation of queuing networks / Abstracts of The 10th International Conference on Mathematical Methods in Reliability (MMR 2017, Grenoble, France). Grenoble: Grenoble INP, Univ. Grenoble Alpes, 2017. С. 95.