Multivariate predictions of local reduced-order-model errors and dimensions
نویسندگان
چکیده
منابع مشابه
Multivariate predictions of local reduced-order-model errors and dimensions
This paper introduces multivariate input-output models to predict the errors and bases dimensions of local parametric Proper Orthogonal Decomposition reduced-order models. We refer to these multivariate mappings as the MP-LROM models. We employ Gaussian Processes and Artificial Neural Networks to construct approximations of these multivariate mappings. Numerical results with a viscous Burgers m...
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ژورنال
عنوان ژورنال: International Journal for Numerical Methods in Engineering
سال: 2017
ISSN: 0029-5981
DOI: 10.1002/nme.5624