Decision Tree Approach for Soil Liquefaction AssessmentReport as inadecuate




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The Scientific World JournalVolume 2013 2013, Article ID 346285, 8 pages

Research Article

Department of Civil Engineering, The University of Akron, Akron, OH 44325, USA

Department of Statistics, The University of Akron, Akron, OH 44325, USA

Received 30 August 2013; Accepted 1 October 2013

Academic Editors: G.-C. Fang and S. Kazemian

Copyright © 2013 Amir H. Gandomi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.





Author: Amir H. Gandomi, Mark M. Fridline, and David A. Roke

Source: https://www.hindawi.com/



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