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The pyrolysis process verification of hydrogen rich gas (H-rG) production by artificial neural network (ANN)

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dc.contributor.authorKaraci, A
dc.contributor.authorCaglar, A
dc.contributor.authorAydinli, B
dc.contributor.authorPekol, S
dc.date.accessioned2023-04-15T22:46:40Z
dc.date.available2023-04-15T22:46:40Z
dc.date.issued2016.01.01
dc.identifier.doi10.1016/j.ijhydene.2016.01.094
dc.identifier.eissn1879-3487
dc.identifier.endpage4578
dc.identifier.issn0360-3199
dc.identifier.issue8
dc.identifier.startpage4570
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000372563000006&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/9447
dc.identifier.volume41
dc.identifier.wosWOS:000372563000006
dc.relation.ispartofINTERNATIONAL JOURNAL OF HYDROGEN ENERGY
dc.titleThe pyrolysis process verification of hydrogen rich gas (H-rG) production by artificial neural network (ANN)
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos39ecbc26-38e7-4554-b23a-545cb30c5e52
relation.isPublicationOfWos.latestForDiscovery39ecbc26-38e7-4554-b23a-545cb30c5e52

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