Investigation of Nonlinear Relations Among Flow Profiles Using Artificial Neural Networks

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datacite.relatedItem.firstPage276
datacite.relatedItem.issue12
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2311-5521
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleFluids
datacite.relatedItem.volume9
dc.contributor.authorShiming Yuan
dc.contributor.authorCaixia Chen
dc.contributor.authorYong Yang
dc.contributor.authorYonghua Yan
dc.date.accessioned2025-04-16T12:52:28Z
dc.date.available2025-04-16T12:52:28Z
dc.date.issued2024
dc.identifier.doihttps://doi.org/10.3390/fluids9120276
dc.identifier.otherjz000104-0264
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/18652
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleInvestigation of Nonlinear Relations Among Flow Profiles Using Artificial Neural Networks
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/18653
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2024