Slope Stability Prediction of Road Embankment using Artificial Neural Network Combined with Genetic Algorithm

The prediction of slope stability was performed using artificial neural networks (ANNs) in this work. factor safety determined by numerical analysis used to develop ANN’s data sets. inputs the network are height, applied surcharge and angle. Correlation coefficients between ANNs outputs showed feasibility for successfully modelling predicting issues. training phase is improved a genetic algorithm (GA), results compared those obtained without GA trained ANNs. A sensitivity conducted ascertain relative contribution different factors on stability. angle have significant effect