79097

Автор(ы): 

Амосов О. С. (ИПУ РАН, Лаборатория 40)
Амосова С. Г. (ИПУ РАН, Лаборатория 80)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Neural Network Models of Earth Geophysical Fields for a Physical Polygon

ISBN/ISSN: 

979-835037571-8

DOI: 

10.1109/MLSD61779.2024.10739588

Наименование конференции: 

  • 2024 17th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Moscow

Издательство: 

  • Institute of Electrical and Electronics Engineers Inc.

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/document/10739588
Аннотация
This paper deals with the possibility of constructing models neural network spatial and surface of the Earth fields for navigation of uncrewed vehicles. The authors present the possibility of constructing a neural network model of a multigeophysical field based on their combination. An example illustrates the neural network model realization for a relief field.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г. Neural Network Models of Earth Geophysical Fields for a Physical Polygon / Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD). Moscow: Institute of Electrical and Electronics Engineers Inc., 2024. С. https://ieeexplore.ieee.org/document/10739588.