Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

Mengwu Guo^*, Andrea Manzoni, Maurice Amendt, Paolo Conti, Jan S. Hesthaven

^*Corresponding author for this work

Research output: Working paper

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title = "Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities",

author = "Mengwu Guo and Andrea Manzoni and Maurice Amendt and Paolo Conti and Hesthaven, {Jan S.}",

year = "2021",

month = feb,

language = "English",

publisher = "ArXiv.org",

type = "WorkingPaper",

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T1 - Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

AU - Guo, Mengwu

AU - Manzoni, Andrea

AU - Amendt, Maurice

AU - Conti, Paolo

AU - Hesthaven, Jan S.

PY - 2021/2

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M3 - Working paper

BT - Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

PB - ArXiv.org

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