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.
出处
《中国农村水利水电》
北大核心
2006年第11期99-101,共3页
China Rural Water and Hydropower
关键词
变形预测
人工神经网络
BP网络
混凝土大坝
Prediction of deformation
Artificial neural network （ANN）
BP network
Concrete dam
