Predicting the Effective Stress Parameter of Unsaturated Soils Using Adaptive Neuro-Fuzzy Inference System

Rahnema, H Hashemi Jokar, M Khabbaz, H

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Field	Value	Language
dc.contributor.author	Rahnema, H	en_US
dc.contributor.author	Hashemi Jokar, M	en_US
dc.contributor.author	Khabbaz, H https://orcid.org/0000-0001-6637-4601	en_US
dc.date.issued	2019-12	en_US
dc.identifier.citation	Scientia Iranica, 2019, 26 (6), pp. 3140 - 3158	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137718
dc.language	en	en_US
dc.publisher	SciTech Solutions	en_US
dc.relation.ispartof	Scientia Iranica	en_US
dc.relation.isbasedon	10.24200/sci.2018.20200	en_US
dc.subject.classification	Civil Engineering	en_US
dc.title	Predicting the Effective Stress Parameter of Unsaturated Soils Using Adaptive Neuro-Fuzzy Inference System	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	26	en_US
utslib.for	09 Engineering	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/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	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	26	en_US

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