Enhancing accuracy of physically informed neural networks for nonlinear Schrödinger equations through multi-view transfer learning-Reference-Cited by-同舟云学术

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Enhancing accuracy of physically informed neural networks for nonlinear Schrödinger equations through multi-view transfer learning

Published:2024-02 Issue: Volume:102 Page:102041
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Chen Yikai,Xiao Hongli^ORCID,Teng Xiao^ORCID,Liu Wenjun,Lan Long^ORCID

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference47 articles.

1. PT-symmetric quantum mechanics;Bender;J. Math. Phys.,1999

2. Integrable nonlocal nonlinear Schrödinger equation;Ablowitz;Phys. Rev. Lett.,2013

3. Industrial Applications of Machine Learning;Larrañaga,2018

4. Applications of Machine Learning;Johri,2020

5. Deep learning;LeCun;Nature,2015

Cited by 2 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. The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation;Nonlinear Dynamics;2024-08-08

2. Detection of explosives in dustbins using deep transfer learning based multiclass classifiers;Applied Intelligence;2024-01

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