67130

Автор(ы): 

Иванюк В. А. (Финансовый университет)
Шувалов К. И. (ИПУ РАН, Лаборатория 33)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Neural network-based methods for forecasting financial time series

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-6654-1230-8

DOI: 

10.1109/MLSD52249.2021.9600241

Наименование конференции: 

  • 2021 14th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2021

Страницы: 

https://ieeexplore.ieee.org/document/9600241
Аннотация
The article discusses methods for predicting time series based on neural networks. Distinctive features of neural networks in forecasting are described. A case study with constructing a neural network-based forecast is considered.

Библиографическая ссылка: 

Иванюк В.А., Шувалов К.И. Neural network-based methods for forecasting financial time series / Proceedings of the 14th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2021. С. https://ieeexplore.ieee.org/document/9600241.