A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks

DOI10.1016/j.jcp.2021.110242OpenAlexW3043516796MaRDI QIDQ2122243

Naxian Ni, Suchuan Dong

Publication date: 6 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.07442

zbMATH Keywords

neural networkperiodic boundary conditionperiodic functiondeep learningdeep neural networkperiodic deep neural network

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Basic methods in fluid mechanics (76Mxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx)

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Uses Software

• Adam

Cites Work

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