CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Reference70 articles.
1. Physics-informed machine learning;Karniadakis;Nat. Rev. Phys.,2021
2. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
3. Can transfer neuroevolution tractably solve your differential equations?;Wong;IEEE Comput. Intell. Mag.,2021
4. Neural algorithm for solving differential equations;Lee;J. Comput. Phys.,1990
5. Solution of nonlinear ordinary differential equations by feedforward neural networks;Meade;Math. Comput. Model.,1994
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