Decision Tree Approach for Soil Liquefaction Assessment
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...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/346285 |
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| author | Amir H. Gandomi Mark M. Fridline David A. Roke |
| author_facet | Amir H. Gandomi Mark M. Fridline David A. Roke |
| author_sort | Amir H. Gandomi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8b34ad87d19c408a93fe58abf980c8dd |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-8b34ad87d19c408a93fe58abf980c8dd2025-02-03T05:51:18ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/346285346285Decision Tree Approach for Soil Liquefaction AssessmentAmir H. Gandomi0Mark M. Fridline1David A. Roke2Department of Civil Engineering, The University of Akron, Akron, OH 44325, USADepartment of Statistics, The University of Akron, Akron, OH 44325, USADepartment of Civil Engineering, The University of Akron, Akron, OH 44325, USAIn 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.http://dx.doi.org/10.1155/2013/346285 |
| spellingShingle | Amir H. Gandomi Mark M. Fridline David A. Roke Decision Tree Approach for Soil Liquefaction Assessment The Scientific World Journal |
| title | Decision Tree Approach for Soil Liquefaction Assessment |
| title_full | Decision Tree Approach for Soil Liquefaction Assessment |
| title_fullStr | Decision Tree Approach for Soil Liquefaction Assessment |
| title_full_unstemmed | Decision Tree Approach for Soil Liquefaction Assessment |
| title_short | Decision Tree Approach for Soil Liquefaction Assessment |
| title_sort | decision tree approach for soil liquefaction assessment |
| url | http://dx.doi.org/10.1155/2013/346285 |
| work_keys_str_mv | AT amirhgandomi decisiontreeapproachforsoilliquefactionassessment AT markmfridline decisiontreeapproachforsoilliquefactionassessment AT davidaroke decisiontreeapproachforsoilliquefactionassessment |