Application of a Machine Learning in Predicting Resistance Factor of Ring Foundation in Clays

Multivariate adaptive regression spline (MARS) is put forward as a unique equation to estimate the undrained resistance factor of a ring foundations rested in inhomogeneous and anisotropic clays. The previous study's numerical results are adopted as the MARS model's feeding data. The MARS equation's results have been evaluated with numerical data from previous numerical investigations. As a result, an excellent fitting between output values from the recommended equation and those from previous studies is obtained. The findings of this research can be a valuable tool for calculating the undrained resistance factor of ring foundations in inhomogeneous and anisotropic clays.