MODNO: Multi-Operator learning with Distributed Neural Operators-Reference-Cited by-同舟云学术

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MODNO: Multi-Operator learning with Distributed Neural Operators

Published:2024-11 Issue: Volume:431 Page:117229
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:

Zhang Zecheng^ORCID

Publisher

Elsevier BV

Reference74 articles.

1. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems;Chen;IEEE Trans. Neural Netw.,1995

2. Approximations of continuous functionals by neural networks with application to dynamic systems;Chen;IEEE Trans. Neural Netw.,1993

3. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators;Lu;Nat. Mach. Intell.,2021

4. Fourier neural operator for parametric partial differential equations;Li,2020

5. BelNet: Basis enhanced learning, a mesh-free neural operator;Zhang;Proc. R. Soc. A,2023

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