Deterministic numeric simulation and surrogate models with white and black machine learning methods: a case study on direct mappings

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  1. Available on January 5, 2022
DOIResolve DOI: https://doi.org/10.1109/SSCI47803.2020.9308370
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  1. National Research Council of Canada. Digital Technologies
FormatText, Article
Proceedings title2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Conference2020 IEEE Symposium Series on Computational Intelligence (SSCI), Dec. 1-4, 2020, Canberra, Australia
ISBN978-1-7281-2547-3
Pages24852494
Subjectdeterministic simulations; partial differential equations; direct mappings; surrogate models; explainable AI; white box models; black box models
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PublisherIEEE
LanguageEnglish
Peer reviewedYes
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Record identifierfbdbe640-81d9-4520-ad50-87f8f0802c87
Record created2021-01-13
Record modified2021-01-14
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