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...

書誌詳細
主要な著者:	Xia, M, Li, X, Shen, Q, Chou, T
フォーマット:	Journal article
言語:	English
出版事項:	Springer 2024

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