On generalized residual network for deep learning of unknown dynamical systems - Citegraph

Paper Info

Title
On generalized residual network for deep learning of unknown dynamical systems

Abstract
•Proposed a generalized residue network method for learning unknown dynamical systems.•The new method serves as an effective way to conduct model correction.•Presented extensive numerical tests, including predictions of long-term chaotic system.

Year	DOI	Venue
2021	10.1016/j.jcp.2021.110362	Journal of Computational Physics
Keywords	DocType	Volume
Deep neural network,Residual network,Governing equation discovery,Model correction	Journal	438
ISSN	Citations	PageRank
0021-9991	0	0.34
References	Authors
21	2

Authors (2 rows)

Cited by (0 rows)

References (21 rows)

Name	Order	Citations	PageRank
Chen Zhen	1	0	0.34
Dongbin Xiu	2	1068	115.57

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