Abstract:

On the basis of the nonlinear reflection ability of artificial neural network, we established three multi-layer feed-forward neural network models in Matlab 7.1 simulation platform to monitor the Baishi reservoir deformation in Liaoning Province. The three models adopt different modified BP algorithms, i.e. LM algorithm, BR algorithm, and GDX algorithm. According to the fitting and prediction results, we compared the application results of the three models and concluded  that the BP network based on LM algorithm was more suitable for building dam's displacement monitoring model to realize real-time and effective monitoring.

Key words: Matlab, dam displacement, BP neural network, modified algorithm, prediction      , 