Based on the results of the statistical analysis of a large amount of measured dada in slope engineering

a theoretical model for natural slope failure for underground mining of phosphorus ore-deposit in mountainous areas is established by using the artificial neural networks theory and applied to predict the stability factor of natural slope in Dingjiahe phosphorus mine. The agreement of the theoretical results with the actual situation of natural slope shows that the proposed model is satisfactory; and the theoretical models obtained are valid; and thus can be effectively used for predicting the slope failure due to underground mining of phosphorus ore-deposit in mountainous areas.