Deformation Monitoring Model of Dam Based on NACA-BP Neural Network
Aiming at the low accuracy of BP neural network for dam monitoring prediction model in middle-later period,based on the intelligent search ability and strong robustness of niche ant colony algorithm (NACA) and BP neural network which can learn and store a large number of input-output nonlinear relationship,NACA is used to optimize BP neural network for establishing prediction model of horizontal displacement monitoring data.Compared with the traditional BP neural network prediction model,the results show that NACA-BP neural network method can speed up the convergence rate of BP neural network,enhance local search ability and improve prediction accuracy.
dam safety monitoringniche technologyant colony algorithmBP neural networkprediction model
NETL
NSTL
万方数据
维普
