Estimation of surface shear strength in Zagros region of Iran
A comparison of artificial neural networks and multiple-linear regression models
dc.contributor.author
Khalilmoghadam, B.
dc.contributor.author
Afyuni, M.
dc.contributor.author
Abbaspour, Karim C.
dc.contributor.author
Jalalian, A.
dc.contributor.author
Dehghani, A.A.
dc.contributor.author
Schulin, R.
dc.date.accessioned
2017-06-14T12:10:19Z
dc.date.available
2017-06-14T12:10:19Z
dc.date.issued
2009-10-15
dc.identifier.issn
0016-7061
dc.identifier.issn
1872-6259
dc.identifier.other
10.1016/j.geoderma.2009.07.008
dc.identifier.uri
http://hdl.handle.net/20.500.11850/157291
dc.language.iso
en
dc.publisher
Elsevier
dc.subject
Surface shear strength
dc.subject
Artificial neural network
dc.subject
Soil erodibility
dc.title
Estimation of surface shear strength in Zagros region of Iran
dc.type
Journal Article
ethz.title.subtitle
A comparison of artificial neural networks and multiple-linear regression models
ethz.journal.title
Geoderma
ethz.journal.volume
153
ethz.journal.issue
1-2
ethz.journal.abbreviated
Geoderma
ethz.pages.start
29
ethz.pages.end
36
ethz.notes
Received 29 January 2009, Revised 30 June 2009, Accepted 15 July 2009, Available online 14 August 2009.
ethz.identifier.wos
ethz.identifier.nebis
000036685
ethz.publication.place
Amsterdam
ethz.publication.status
published
ethz.date.deposited
2017-06-14T12:18:12Z
ethz.source
ECIT
ethz.identifier.importid
imp59364ce4bdbf340395
ethz.ecitpid
pub:35603
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T16:50:09Z
ethz.rosetta.lastUpdated
2022-03-28T16:37:29Z
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