Neural Networks to Solve Partial Differential Equations: A Comparison With Finite Elements-Reference-Cited by-同舟云学术

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Neural Networks to Solve Partial Differential Equations: A Comparison With Finite Elements

Published:2022 Issue: Volume:10 Page:32271-32279
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sacchetti Andrea¹^ORCID,Bachmann Benjamin²^ORCID,Loffel Kaspar²,Kunzi Urs-Martin³,Paoli Beatrice³

Affiliation:

1. IMN, University of Applied Science and Arts Northwestern Switzerland, Windisch, Switzerland

2. IPPE, University of Applied Science and Arts Northwestern Switzerland, Windisch, Switzerland

3. Laboratory of Web Science, Fernfachhhochschule FFHS, Zurich, Switzerland

Funder

Hasler Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09737092.pdf?arnumber=9737092

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations;Neural Networks;2024-08

2. Fast Solving Partial Differential Equations via Imitative Fourier Neural Operator;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Compressible Non-Newtonian Fluid Based Road Traffic Flow Equation Solved by Physical-Informed Rational Neural Network;IEEE Access;2024

4. Numerical simulation by Deep Learning of a time periodic p(x)-Laplace equation;Mathematical Modeling and Computing;2024

5. Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations;Communications in Computer and Information Science;2023-11-26

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