Born approximation and transfer learning to accelerate the training stage in data-driven end-to-end approach for seismic monitoring in viscoelastic media - Доклады на конференциях | Sciact - Система учета научной деятельности ИМ СО РАН

Born approximation and transfer learning to accelerate the training stage in data-driven end-to-end approach for seismic monitoring in viscoelastic media Доклады на конференциях

Язык

Русский

Тип доклада

Секционный

Конференция

Международная конференция "Суперкомпьютерные дни в России"
23-24 сент. 2024 , Москва

Авторы

Bratchikov Denis ¹ , Cheverda Vladimir ¹ , Kirill Gadylshin Kirill ¹

Организации

1	Институт математики им. С.Л. Соболева СО РАН

Bratchikov D. , Cheverda V. , Kirill Gadylshin K.
Born approximation and transfer learning to accelerate the training stage in data-driven end-to-end approach for seismic monitoring in viscoelastic media
Международная конференция "Суперкомпьютерные дни в России" 23-24 сент. 2024