Prediction of Dam's Vertical Displacement Based on BP Neural Network

The method of using a multiple regression model on prediction the dam’s vertical displacement often result in inaccurate forecasting because of the limitations of mathematical model and the inaccurate analysis on the affecting factors.By training BP Neural Network which has powerful ability in nonlinear problems processing and good self-learning function,an effectively prediction was conduct on the dam’s vertical displacement of hydropower station,makes relative error of the forecast results less than 1%,so as to achieve a more reliable dam safety monitoring.