Dam Deformation Monitoring Model and Forecast Based on BP Algorithm of Artificial Neural Networks

With an aim at the shortage of statistic models and determinative models used in dam safety monitoring both home and abroad, the BP neural networks model based on error back propagation algorithm is suggested to use in research on the fitting analysis and prediction and monitoring of dam deformation. With the deformation monitoring of Shuikou concrete gravity dam in Fujian province as an example, BP networks model is established for the real measurement of vertical displacement of the dam crest, which can also be used in forecasting the vertical displacement of dam crest. The outcome shows that the accuracy of BP networks model is obviously superior to that of statistic model.