Abstract: Accordingto the fuzzy characteristics of slope stability,a fuzzy neural network model is presented to predict slope stability.In this model,theintention of acquiringthe initialfuzzy rule sets can be achieved only by using the desired input-output data pairs.Then,employing neural networks learning techniques,the fuzzy logic rules,input-output fuzzy membership functions and weights in network can be easily tuned.So the rule matching is reduced.The velocity of inference is accelerated.Adaptabilityof the system is greatly improved.At last,the collected data of slope stability are adapted to train and test the model.The forecasted results show that the proposed method is feasible and effective in predicting slope stability.