Optimizing Physics-Informed Neural Network in Dynamic System Simulation and Learning of Parameters
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and more accurate ways to simulate dynamic systems....
Main Authors: | Ebenezer O. Oluwasakin, Abdul Q. M. Khaliq |
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Formato: | Artigo |
Idioma: | English |
Publicado: |
MDPI AG
2023-11-01
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Series: | Algorithms |
Subjects: | |
Acceso en liña: | https://www.mdpi.com/1999-4893/16/12/547 |
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