VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ko, Seungchan, Park, Sang Hyeon
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2406.06287