Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Valentina A. Baboshina"'
Publikováno v:
IEEE Access, Vol 12, Pp 168428-168444 (2024)
In this paper we propose the fractional gradient descent for increasing the training and work of modern neural networks. This optimizer searches the global minimum of the loss function considering the fractional gradient directions achieved by Rieman
Externí odkaz:
https://doaj.org/article/05b7260c316444f697d41e5b3825d325
Publikováno v:
2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS).
Autor:
Pavel A. Lyakhov, Alexander S. Voznesensky, Evgeniy D. Shalugin, Anzor R. Orazaev, Valentina A. Baboshina
Publikováno v:
2022 11th Mediterranean Conference on Embedded Computing (MECO).
Publikováno v:
2022 11th Mediterranean Conference on Embedded Computing (MECO).
The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16–17 February 2024 in Guwahati, India. The book is organized in two volumes and covers state-of
This book is based on the best papers accepted for presentation during the International Conference on Mathematics and its Applications in New Computer Systems (MANCS-2021), Russia.The book includes research materials on modern mathematical problems,