关键词: 支持向量机, 大坝变形, 预测, 神经网络模型

Abstract: Support vector machine showed its specific advantage on nonlinear and high dimensional model recognition problem solving. Aiming at dam deformation had characteristic of strong nonlinear and problems like local minimum and over fitting exist in traditional neural network model prediction, support vector machine was used in dam deformation prediction. Took the deformation monitoring data of a dam as the example,  SVM prediction model established, support vector machine model and neural network model were compared and analyzed. The result indicated, the precision of this model was high, which could be used in dam deformation monitoring analysis very well.

Key words: Support vector machine, Dam deformation, Prediction, Neural network model