Data-driven high-order rogue waves and parameters discovery for Gardner equation using deep learning approach

Author:

Sun Shi-fei,Tian Shi-fang,Li BiaoORCID

Funder

National Natural Science Foundation of China

Ningbo University

Publisher

Elsevier BV

Reference30 articles.

1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J Comput Phys,2019

2. Fpinns: Fractional physics-informed neural networks;Pang;SIAM J Sci Comput,2019

3. Physics-informed neural networks for inverse problems in supersonic flows;Jagtap;J Comput Phys,2022

4. Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations;Moseley,2021

5. hp-VPINNs: Variational physics-informed neural networks with domain decomposition;Kharazmi,2020

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