计算机工程与应用2011，Vol.47Issue(1)：220-222,3.DOI:10.3778/j.issn.1002-8331.2011.01.063
LM-BP神经网络在大坝变形预测中的应用
Application of LM-BP neural network in predicting dam deformation.
摘要
Abstract
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.关键词
大坝变形/LM-BP神经网络/预测模型Key words
dam deformation/Levenberg Marquardt Back Propagation(LM-BP) neural network/forecasting model分类
信息技术与安全科学引用本文复制引用
缪新颖,褚金奎,杜小文..LM-BP神经网络在大坝变形预测中的应用[J].计算机工程与应用,2011,47(1):220-222,3.基金项目
国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of China under Grant No.2006CB300407). （973）
