%0 Journal Article
%A MIAO Xinying
%A CHU Jinkui
%A DU Xiaowen
%T Application of LM-BP neural network in predicting dam deformation
%D 2011
%R 10.3778/j.issn.1002-8331.2011.01.063
%J Computer Engineering and Applications
%P 220-222
%V 47
%N 1
%X It is significant to establish an effective and practical dam safety monitoring model.The shortcomings of the traditional BP neural network lie in the slowness in the convergence rate and the weakness in the generalization ability.Based on the above，LM-BP neural network is adopted for predicting the dam deformation.With the measured data of Danjiangkou dam deformations in the year of 1996 and 1997 as examples，the deflection of dam is predicted using LM-BP.The results show that the proposed method can obviously enhance the forecasting precision and convergence rate.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2011.01.063