Analysis and Application of Dam Safety and Stability Prediction Model Based on SVM Algorithm

In order to monitor the dam safety conviently, a small sample nonlinear SVM dam safety factor prediction model was established. Taking the Baiyangshan reservoir project as an example, the application of this model was discussed. Considering the factors of dam height, soil layer and settlement of dam foundation, the genetic algorithm is used to search the relaxation coefficient and penalty factor of the prediction model. This model is used to predict the safety and stability of the dam. The inspection shows the accuracy of prediction can meet the design requirements.