Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation

Lecture Notes in Computer Science - High Performance Computing ◽

10.1007/978-3-030-59851-8_8 ◽

2020 ◽

pp. 116-136

Author(s):

Alberto Costa Nogueira ◽

João Lucas de Sousa Almeida ◽

Guillaume Auger ◽

Campbell D. Watson

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dynamical Systems ◽

Reduced Order Modeling ◽

Water Circulation ◽

Reduced Order ◽

Artificial Neural

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Reduced Order Modeling of a Turbulent Two Dimensional Cylinder Wake with Filtered POD and Artificial Neural Networks

49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition ◽

10.2514/6.2011-58 ◽

2011 ◽

Author(s):

Akin Paksoy ◽

Buryan Apacoglu ◽

Selin Aradag

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Modeling ◽

Two Dimensional ◽

Cylinder Wake ◽

Reduced Order ◽

Artificial Neural

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A comparison of reduced-order modeling approaches using artificial neural networks for PDEs with bifurcating solutions

ETNA - Electronic Transactions on Numerical Analysis ◽

10.1553/etna_vol56s52 ◽

2021 ◽

Vol 56 ◽

pp. 52-65

Author(s):

Martin W. Hess ◽

Annalisa Quaini ◽

Gianluigi Rozza

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Modeling ◽

Reduced Order ◽

Modeling Approaches ◽

Artificial Neural

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On-the-Fly Adaptivity for Nonlinear Twoscale Simulations Using Artificial Neural Networks and Reduced Order Modeling

Frontiers in Materials ◽

10.3389/fmats.2019.00075 ◽

2019 ◽

Vol 6 ◽

Author(s):

Felix Fritzen ◽

Mauricio Fernández ◽

Fredrik Larsson

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Modeling ◽

Reduced Order ◽

Artificial Neural

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Non-Intrusive Reduced Order Modeling of Convection Dominated Flows Using Artificial Neural Networks with Application to Rayleigh-Taylor Instability

Communications in Computational Physics ◽

10.4208/cicp.oa-2020-0064 ◽

2022 ◽

Vol 30 (1) ◽

pp. 97-123

Author(s):

Zhen Gao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Modeling ◽

Taylor Instability ◽

Reduced Order ◽

Rayleigh Taylor Instability ◽

Artificial Neural ◽

Convection Dominated

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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Journal of Computational Physics ◽

10.1016/j.jcp.2019.01.031 ◽

2019 ◽

Vol 384 ◽

pp. 289-307 ◽

Author(s):

Qian Wang ◽

Jan S. Hesthaven ◽

Deep Ray

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Unsteady Flows ◽

Reduced Order Modeling ◽

Reduced Order ◽

Artificial Neural ◽

Combustion Problem

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A data-driven reduced-order model of nonlinear processes based on diffusion maps and artificial neural networks

Chemical Engineering Journal ◽

10.1016/j.cej.2020.125475 ◽

2020 ◽

Vol 397 ◽

pp. 125475

Author(s):

E.D. Koronaki ◽

A.M. Nikas ◽

A.G. Boudouvis

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Reduced Order Model ◽

Data Driven ◽

Diffusion Maps ◽

Nonlinear Processes ◽

Order Model ◽

Reduced Order ◽

Artificial Neural

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A finite element reduced‐order model based on adaptive mesh refinement and artificial neural networks

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6235 ◽

2019 ◽

Vol 121 (4) ◽

pp. 588-601 ◽

Author(s):

Joan Baiges ◽

Ramon Codina ◽

Inocencio Castañar ◽

Ernesto Castillo

Keyword(s):

Neural Networks ◽

Finite Element ◽

Artificial Neural Networks ◽

Adaptive Mesh Refinement ◽

Mesh Refinement ◽

Adaptive Mesh ◽

Reduced Order Model ◽

Order Model ◽

Reduced Order ◽

Artificial Neural

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Artificial neural networks in fault diagnosis of dynamical systems

2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON) ◽

10.1109/sibircon.2010.5555118 ◽

2010 ◽

Author(s):

Jozef Korbicz

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Dynamical Systems ◽

Artificial Neural

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Dynamical Systems and Artificial Neural Networks

Theory and Applications of Neural Networks - Perspectives in Neural Computing ◽

10.1007/978-1-4471-1833-6_2 ◽

1992 ◽

pp. 31-76

Author(s):

J. G. Taylor

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dynamical Systems ◽

Artificial Neural

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Applications of artificial neural networks to the identification of dynamical systems

Proceedings 1995 Canadian Conference on Electrical and Computer Engineering ◽

10.1109/ccece.1995.526278 ◽

2002 ◽

Author(s):

S. Martin ◽

I. Kamwa ◽

R.J. Marceau

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dynamical Systems ◽

Artificial Neural

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