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- W2130067681 abstract "This article adopts Multivariate Adaptive Regression Spline (MARS) for prediction of Angle of Shearing Resistance(ϕ) of soil. MARS is an adaptive, non-parametric regression approach. Percentages of fine-grained (FG), coarse-grained (CG), liquid limit (LL), and bulk density (BD) have been used as input variables of MARS. The developed MARS gives an equation for prediction of ϕ of soil. The results of MARS have been compared with Genetic Expression Programming (GEP), Artificial Neural Network (ANN), and Adaptive Neuro Fuzzy Inference System (ANFIS) models. These results demonstrate that the developed MARS can be used as a robust model for determination of ϕ of soil." @default.
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- W2130067681 date "2014-10-02" @default.
- W2130067681 modified "2023-09-25" @default.
- W2130067681 title "Determination of the Angle of Shearing Resistance of Soils Using Multivariate Adaptive Regression Spline" @default.
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- W2130067681 doi "https://doi.org/10.1080/1064119x.2014.954655" @default.
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