Abstract: A novel model based on wavelet transform and support vector machine for dam deformation prediction is presented.Firstly,through the wavelet transform,deformation time series is decomposed into different frequency components.Then,according to the different characteristics of the decomposed components,different support vector machines are constructed to forecast the components.Finally,the predicted results of the components are reconstructed to be used as the final prediction result of deformation.The calculation result shows that this model has higher forecasting precision and greater generality ability.