Study of Bp neural network model to dam deformation monitoring
BP neural network model is advanced in this paper for the analysis of dam deformation monitoring data, aiming at the limitation of traditional method of statistical model. Structure and algorithm of BP neural network model is introduced, together with the normalization of sample data. The application of this model to Taihe Reservoir Dam shows that its precision is prior to that of statistical model.