The Directory of Open Access Journals
DOAJ Logotype
Open
Global
Trusted
Main actions
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Search
Menu
Secondary actions
Search
Journals
Articles
Documentation
API
OAI-PMH
Widgets
Public data dump
OpenURL
XML
Metadata help
Preservation
About
About DOAJ
DOAJ at 20
DOAJ team
Ambassadors
Advisory Board & Council
Editorial Policy Advisory Group
Volunteers
News
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Login
Login
Quick search
Close
×
Journals
Articles
Search by keywords:
In the field:
In all fields
Title
ISSN
Subject
Publisher
Country of publisher
Search
Open Geosciences
(Dec 2011)
Machine learning techniques applied to prediction of residual strength of clay
Das Sarat,
Samui Pijush,
Khan Shakilu,
Sivakugan Nagarathnam
Affiliations
Das Sarat
Civil Engineering Department, National Institute of Technology, Rourkela, India
Samui Pijush
Centre for Disaster Mitigation and Management, VIT University, Vellore, 632014, India
Khan Shakilu
Civil Engineering Department, BIET, B.P. University of Technology, Rourkela, Orissa, India
Sivakugan Nagarathnam
Civil & Environmental Engineering, James Cook University, Townsville, Queensland, Australia
DOI
https://doi.org/10.2478/s13533-011-0043-1
Journal volume & issue
Vol. 3, no. 4
pp. 449 – 461
Abstract
Read online
No abstracts available.
Keywords
landslides
residual strength
index properties
prediction model
artificial neural network
support vector machine
WeChat QR code
Close