A comparison of deep learning-based techniques for solving partial differential equations
Obtaining the solutions of high-dimensional partial differential equations (PDEs) seems to be difficult by utilizing the classical numerical methods. Recently, deep neural networks (DNNs) techniques have received special attentions in solving high–dimensional problems in PDEs. In this study, our que...
Saved in:
Main Authors: | Rabiu Bashir Yunus, Nooraini Zainuddin, Afza Shafie, Muhammad Izzatullah Mohd Mustafa, Samsul Ariffin Abdul Karim |
---|---|
格式: | Article |
语言: | English English |
出版: |
American Institute of Physics Inc.
2024
|
主题: | |
在线阅读: | https://eprints.ums.edu.my/id/eprint/38814/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38814/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38814/ https://doi.org/10.1063/5.0171671 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Preconditioned explicit decoupled group methods for solving elliptic partial differential equations.
由: Ahmed, Abdulkafi Mohammed Saeed
出版: (2011) -
An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
由: Tan, Lee Sen
出版: (2022) -
B-Splines Based Finite Difference Schemes For Fractional Partial Differential Equations
由: Akram, Tayyaba
出版: (2020) -
The Numerical and Approximate Analytical Solution of
Parabolic Partial Differential Equations with Nonlocal
Boundary Conditions
由: Ghoreishi, Seyed Mohammad
出版: (2011) -
An Overview on Deep Learning Techniques in Solving Partial Differential Equations
由: Yunus, R.B., et al.
出版: (2022)