Error assessment of an adaptive finite elements—neural networks method for an elliptic parametric PDE-Reference-Cited by-同舟云学术

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Error assessment of an adaptive finite elements—neural networks method for an elliptic parametric PDE

Published:2024-03 Issue: Volume:421 Page:116784
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Caboussat Alexandre^ORCID,Girardin Maude^ORCID,Picasso Marco

Publisher

Elsevier BV

Reference49 articles.

1. Approximation and estimation bounds for artificial neural networks;Barron;Mach. Learn.,1994

2. Neural network approximation;DeVore;Acta Numer.,2021

3. Barron spaces and the compositional function spaces for neural network models;E,2019

4. Optimal approximation of piecewise smooth functions using deep relu neural networks;Petersen;Neural Netw.,2018

5. Provable approximation properties for deep neural networks;Shaham;Appl. Comput. Harmon. Anal.,2018

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