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Cheng et al., 2023 - Google Patents

Generalised latent assimilation in heterogeneous reduced spaces with machine learning surrogate models

Cheng et al., 2023

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Document ID
13430586605449041878
Author
Cheng S
Chen J
Anastasiou C
Angeli P
Matar O
Guo Y
Pain C
Arcucci R
Publication year
Publication venue
Journal of Scientific Computing

External Links

Snippet

Reduced-order modelling and low-dimensional surrogate models generated using machine learning algorithms have been widely applied in high-dimensional dynamical systems to improve the algorithmic efficiency. In this paper, we develop a system which combines …
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
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    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
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    • GPHYSICS
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    • GPHYSICS
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