Economic Foundations of Practical Social Computing
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Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Random Forest Based Approach
Determining the ultimate bearing capacity (UBC) is vital for design of shallow foundations. Recently, soft computing methods (i.e. artificial neural networks and support vector machines) have been used for this purpose. In this paper, Random Forest (RF) is utilized as a tree-based ensemble classifier for predicting the UBC of shallow foundations on cohesionless soils. The inputs of model are wi...
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تاریخ انتشار 2014