Learning Parameterized ODEs From Data

In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since the networks are required to understand the roles of the parameters, i.e., the...

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Príomhchruthaitheoirí: Qing Li, Steinar Evje, Jiahui Geng
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: IEEE 2023-01-01
Sraith:IEEE Access
Ábhair:
Rochtain ar líne:https://ieeexplore.ieee.org/document/10143183/