Samui, Pijush (2008) Support vector machine applied to settlement of shallow foundations on cohesionless soils. In: Computers and Geotechnics, 35 (3). pp. 419-427.
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The determination of settlement of shallow foundations on cohesionless soil is an important task in geotechnical engineering. Available methods for the determination of settlement are not reliable. In this study, the support vector machine (SVM), a novel type of learning algorithm based on statistical theory, has been used to predict the settlement of shallow foundations on cohesionless soil. SVM uses a regression technique by introducing an ε – insensitive loss function. A thorough sensitive analysis has been made to ascertain which parameters are having maximum influence on settlement. The study shows that SVM has the potential to be a useful and practical tool for prediction of settlement of shallow foundation on cohesionless soil.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Elsevier Science.|
|Keywords:||Settlement;Shallow foundation;Support vector machine.|
|Department/Centre:||Division of Mechanical Sciences > Civil Engineering|
|Date Deposited:||04 Jun 2010 09:02|
|Last Modified:||19 Sep 2010 05:58|
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