Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods

Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods

Rapidly developing machine learning methods have stimulated research interest in computationally reconstructing differential equations (DEs) from observational data, providing insight into the underlying mechanistic models. In this paper, we propose a new neural-ODE-based method that spectrally expa...

Полное описание

Библиографические подробности
Главные авторы:	Xia, M, Li, X, Shen, Q, Chou, T
Формат:	Journal article
Язык:	English
Опубликовано:	Springer 2024

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