Prediction of Resilient Modulus of Ballast Under Cyclic Loading Using Machine Learning Techniques

Indraratna, B

Armaghani, DJ Correia, AG Hunt, H Ngo, T

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Field	Value	Language
dc.contributor.author	Indraratna, B https://orcid.org/0000-0002-2346-8250
dc.contributor.author	Armaghani, DJ
dc.contributor.author	Correia, AG
dc.contributor.author	Hunt, H
dc.contributor.author	Ngo, T
dc.date.accessioned	2023-05-09T01:17:03Z
dc.date.available	2023-05-09T01:17:03Z
dc.date.issued	2022
dc.identifier.citation	SSRN Electronic Journal, 2022
dc.identifier.uri	http://hdl.handle.net/10453/170287
dc.language	en
dc.relation.ispartof	SSRN Electronic Journal
dc.relation.isbasedon	10.2139/ssrn.4160152
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Prediction of Resilient Modulus of Ballast Under Cyclic Loading Using Machine Learning Techniques
dc.type	Preprint
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
utslib.copyright.status	open_access	*
dc.date.updated	2023-05-09T01:16:57Z

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