Stability evaluation of dump slope using artificial neural network and multiple regression

The present paper focuses on designing an artificial neural network (ANN) model and a multiple regression analysis (MRA) that could be used to predict factor of safety dragline dump slope. To implement these two models, the dataset was utilized from numerical simulation results slopes, wherein 216 slope models were simulated using modeling technique employed with finite element method. incorporated combination three geometrical parameters, namely, coal-rib height (Crh), (Sh), angle (Sa) predicted derived MRA ANN compared obtained models. Moreover, compare validity both various performance indicators, such as variance account for (VAF), determination coefficient (R2), root mean square error (RMSE), residual calculated. Based has shown higher prediction accuracy than model. study reveals developed in this research handy slopes at preliminary stage.