神经网络模型在大坝位移分析中的应用  

Application of BP Neural Network Model in Analysis to Dam Displacement

作　　者：王超领[1] 李美娟[2] 

机构地区：[1]上海市地质调查研究院,上海市200072 [2]上海轨道交通维护保障中心,上海市200070

出　　处：《勘察科学技术》2011年第2期44-46,共3页Site Investigation Science and Technology

摘　　要：大坝变形监测是大坝安全监测中最重要的项目之一。由于大坝变形受到各种外界因素的影响,变形情况非常复杂,预测的准确性对大坝的安全评估起着重要作用。因此,对大坝变形分析预报方法的选择显得尤为重要。该文介绍了统计模型和神经网络模型,提出将BP神经网络方法与统计方法结合的方法。用这两种方法对某大坝位移监测数据进行分析,并对未来变形值进行预报,取得了一定的效果。Dam deformation is one of the important dam safety monitoring items.Because dam deformation is influced by all kinds of external factors,the deformation conditions are very complicated,and its accuracy of prediction is important to the safety evaluation of dam.So the choice of analysis and prediction method in dam deformation is particularly important.The statistical model and neural network model are introduced in the paper, and the BP neural network method combined with statistical methods are also put forward.The monitoring data of the dam displacement is analyzed by the combined methods,and the future deformation values are predicated, the effect is obtained well.

关 键 词：BP神经网络 位移分析 

分 类 号：TV698.1[水利工程—水利水电工程]