Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network

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dc.contributor.author Mehrjou, Arash
dc.date.accessioned 2021-08-18T13:56:45Z
dc.date.available 2021-08-18T13:56:45Z
dc.date.issued 2021
dc.identifier.issn 1570-6478
dc.identifier.uri http://hdl.handle.net/10900/118001
dc.language.iso en en
dc.publisher Springer de_DE
dc.relation.uri http://dx.doi.org/10.1007/s12053-021-09931-6
dc.subject.ddc 600 de_DE
dc.subject.ddc 550 de_DE
dc.subject.ddc 570 de_DE
dc.subject.ddc 540 de_DE
dc.title Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network de_DE
dc.type Article de_DE
utue.quellen.id 20210512015105_01004
utue.personen.roh Amini, Kasra
utue.personen.roh Mehrjou, Arash
utue.personen.roh Mani, Mahmoud
dcterms.isPartOf.ZSTitelID Energy Efficiency de_DE
dcterms.isPartOf.ZS-Issue Article 25 de_DE
dcterms.isPartOf.ZS-Volume 14 de_DE
utue.fakultaet Sonstige


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