A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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The widespread integration of deep neural networks in developing data-driven surrogate models for high-fidelity simulations of complex physical systems highlights the critical necessity for robust uncertainty quantification techniques and credibility assessment methodologies, ensuring the reliable deployment of surrogate models in consequential dec...
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A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
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TN_cdi_proquest_journals_2957594411
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2957594411
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2331-8422
