A BP artifical neural networks model was establishedusing slope height and angle, rock gravity-density, cohe
sion and internal friction angle as input variables. The model is used for stability evaluation of Yudonghe Landslide. By means of the optimization of trainningparameters, e.g., the learing ratio being 0.9, the learing step being 0.7
,after 12 589 times trainning the samples approached to convergence. The linking weights and threshod values were determined to recognize mode shape, and thenthe calculation of the slop state and stability coefficients was completed. The calculated results show that the Yudonghe landslide is in danger state and its stability coefficient only 1.100 5