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Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation - MaRDI portal

Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation (Q6159004)

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scientific article; zbMATH DE number 7698840
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Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation
scientific article; zbMATH DE number 7698840

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    Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation (English)
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    20 June 2023
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    model-order reduction
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    inverse problem
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    machine learning
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    artificial neural network
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    parametric solution manifold
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    wake optimization
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