Utilising Artificial Neural Networks for Prediction of Properties of Geopolymer Concrete

Shamayleh, O Far, H

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Field	Value	Language
dc.contributor.author	Shamayleh, O
dc.contributor.author	Far, H https://orcid.org/0000-0003-3480-6582
dc.date.accessioned	2023-04-08T21:33:45Z
dc.date.available	2023-01-27
dc.date.available	2023-04-08T21:33:45Z
dc.date.issued	2023-04-09
dc.identifier.citation	Computers and Concrete, 2023, 31, (4)
dc.identifier.issn	1598-818X
dc.identifier.uri	http://hdl.handle.net/10453/169391
dc.language	en
dc.publisher	Techno-press
dc.relation.ispartof	Computers and Concrete
dc.relation.isbasedon	10.12989/cac.2023.31.4.000
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0905 Civil Engineering
dc.subject.classification	Building & Construction
dc.title	Utilising Artificial Neural Networks for Prediction of Properties of Geopolymer Concrete
dc.type	Journal Article
utslib.citation.volume	31
utslib.for	0905 Civil Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2023-04-08T21:33:40Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	31
utslib.citation.issue	4

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