Research output: Contribution to journal › Conference article › peer-review
Neural networks in solving differential equations. / Гориховский, Вячеслав Игоревич; Евдокимова, Татьяна Олеговна; Полетанский, Виктор Александрович.
In: Journal of Physics: Conference Series, Vol. 2308, No. 1, 012008, 01.07.2022.Research output: Contribution to journal › Conference article › peer-review
}
TY - JOUR
T1 - Neural networks in solving differential equations
AU - Гориховский, Вячеслав Игоревич
AU - Евдокимова, Татьяна Олеговна
AU - Полетанский, Виктор Александрович
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - The paper considers the possibility of using neural networks in solving differential equations and systems. The paper investigates the influence of various basic neural network topologies, various optimizers, activation functions, fast access links and some heuristic methods on the quality of neural network training and the accuracy of solving the differential equation.
AB - The paper considers the possibility of using neural networks in solving differential equations and systems. The paper investigates the influence of various basic neural network topologies, various optimizers, activation functions, fast access links and some heuristic methods on the quality of neural network training and the accuracy of solving the differential equation.
UR - http://www.scopus.com/inward/record.url?scp=85135233261&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2308/1/012008
DO - 10.1088/1742-6596/2308/1/012008
M3 - Conference article
VL - 2308
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012008
T2 - The Twenty-second International Conference on Computational Mechanics and Modern Applied Software Systems
Y2 - 4 September 2021 through 13 September 2021
ER -
ID: 88434527