Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest

Matin, SS Farahzadi, L Makaremi, S Chelgani, SC

Sattari, G

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Field	Value	Language
dc.contributor.author	Matin, SS	en_US
dc.contributor.author	Farahzadi, L	en_US
dc.contributor.author	Makaremi, S	en_US
dc.contributor.author	Chelgani, SC https://orcid.org/0000-0002-2265-6321	en_US
dc.contributor.author	Sattari, G	en_US
dc.date.issued	2018-09	en_US
dc.identifier.citation	Applied Soft Computing, 2018, 70 pp. 980 - 987	en_US
dc.identifier.issn	1568-4946	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130901
dc.language	en	en_US
dc.publisher	Elsevier BV	en_US
dc.relation.ispartof	Applied Soft Computing	en_US
dc.relation.isbasedon	10.1016/j.asoc.2017.06.030	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Variable selection and prediction of uniaxial compressive strength and modulus of elasticity by random forest	en_US
dc.type	Journal Article
utslib.citation.volume	70	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
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/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	70	en_US

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