On the Neural Network Solution of One-Dimensional Wave Problem

  • Aditya Firman Ihsan Telkom University
Keywords: Physics Informed Neural Network, wave problem, deep learning

Abstract

Artificial neural network has become an emerging popular method to handle various problems, especially in case where it has deep multiple neural layers. In this study, we use a deep artificial neural network model to solve one-dimensional wave equation, without any external datasets. Different type of boundary conditions, i.e., Dirichlet, Neumann, and Robin, are used. We analyze the model learning capabilities in a set of settings, such as data setup and the model width and depth. We also present some discussions of advantages and disadvantages of the model in comparison with other matured existing techniques to solve wave equation.  

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Published
2021-12-30
How to Cite
Ihsan, A. F. (2021). On the Neural Network Solution of One-Dimensional Wave Problem. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(6), 1106 - 1112. https://doi.org/10.29207/resti.v5i6.3565
Section
Artikel Teknologi Informasi