人工神经网络模型应用于大坝变形观测  

Application of Artificial Neural Network Model in Dam Deformation Observation

作　　者：彭新民[1] 刘明军[1] 黄财元[1] 

机构地区：[1]天津大学水利水电工程系,天津300072

出　　处：《中国农村水利水电》2006年第11期99-101,共3页China Rural Water and Hydropower

摘　　要：利用已有的垂线原型观测资料,建立了基于人工神经网络的大坝变形计算模型,并用原型观测数据对其进行了校核和检验。结果证明,用人工神经网络建立坝体变形的神经网络模型对大坝变形能够进行较高精度的预测,并具有一定的优越性。In the paper, the perpendicular observation data was used to establish a computation model based on artificial neural networks （ANN） to monitor the deformation of the dam. Through comparison of the results with the observation data, it is shown that the model is not only effective for dam deformation prediction, but also superior in practical use.

关 键 词：变形预测 人工神经网络 BP网络 混凝土大坝 

分 类 号：TV698.1[水利工程—水利水电工程]