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Decision Tree Approach for Soil Liquefaction Assessment
Joint Authors
Roke, David A.
Fridline, Mark
Gandomi, Amir Hossein
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In the current study, the performances of some decision tree (DT) techniques are evaluated for postearthquake soil liquefaction assessment.
A database containing 620 records of seismic parameters and soil properties is used in this study.
Three decision tree techniques are used here in two different ways, considering statistical and engineering points of view, to develop decision rules.
The DT results are compared to the logistic regression (LR) model.
The results of this study indicate that the DTs not only successfully predict liquefaction but they can also outperform the LR model.
The best DT models are interpreted and evaluated based on an engineering point of view.
American Psychological Association (APA)
Gandomi, Amir Hossein& Fridline, Mark& Roke, David A.. 2013. Decision Tree Approach for Soil Liquefaction Assessment. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032798
Modern Language Association (MLA)
Gandomi, Amir Hossein…[et al.]. Decision Tree Approach for Soil Liquefaction Assessment. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1032798
American Medical Association (AMA)
Gandomi, Amir Hossein& Fridline, Mark& Roke, David A.. Decision Tree Approach for Soil Liquefaction Assessment. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032798