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On generalized residue network for deep learning of unknown dynamical
  systems

On generalized residue network for deep learning of unknown dynamical systems

23 January 2020
Zhen Chen
D. Xiu
    AI4CE
ArXivPDFHTML

Papers citing "On generalized residue network for deep learning of unknown dynamical systems"

7 / 7 papers shown
Title
Approaching epidemiological dynamics of COVID-19 with physics-informed
  neural networks
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
Shuai Han
Lukas Stelz
Horst Stoecker
L. Wang
Kai Zhou
AI4CE
PINN
28
9
0
17 Feb 2023
Semi-analytic PINN methods for singularly perturbed boundary value
  problems
Semi-analytic PINN methods for singularly perturbed boundary value problems
G. Gie
Youngjoon Hong
Chang-Yeol Jung
PINN
8
5
0
19 Aug 2022
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed
  Partial Differential Equations
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed Partial Differential Equations
Junho Choi
N. Kim
Youngjoon Hong
AI4CE
24
0
0
21 Jul 2022
Modeling unknown dynamical systems with hidden parameters
Modeling unknown dynamical systems with hidden parameters
Xiaohan Fu
Weize Mao
L. Chang
D. Xiu
16
5
0
03 Feb 2022
Discovery of Governing Equations with Recursive Deep Neural Networks
Discovery of Governing Equations with Recursive Deep Neural Networks
Jia Zhao
Jarrod Mau
PINN
19
6
0
24 Sep 2020
Learning reduced systems via deep neural networks with memory
Learning reduced systems via deep neural networks with memory
Xiaohang Fu
L. Chang
D. Xiu
11
32
0
20 Mar 2020
Bayesian System ID: Optimal management of parameter, model, and
  measurement uncertainty
Bayesian System ID: Optimal management of parameter, model, and measurement uncertainty
Nicholas Galioto
Alex Gorodetsky
9
32
0
04 Mar 2020
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