• Case study • Previous Articles     Next Articles

Dam deformation prediction and analysis based on BP-ANN

Huang Quan-yi and Zhang Zheng-lu   

  • Published:2002-10-28

基于人工神经网络的大坝变形分析与预报研究

黄全义,张正禄   

  1. 武汉大学测绘学院,武汉 430079

Abstract: This paper first analyzes the influence factors of dam deformation. Then, it gives seven input patterns of dam deformation analyzing based on BP-ANN. It also discusses the processing methods of some key problems in constructing BP-ANN model. It finally predicts and analyses the deformation value of a concrete arch dam according to deformation measurement data using above different BP-ANN input patterns, and gets some good conclusion.?

摘要: 本文在分析大坝位移影响因子的基础上,给出了基于 BP-ANN(人工神经网络)分析大坝变形时的七种输入模式。探讨了在建立 BP-ANN 模型时几个关键问题的处理方法。结合某一混凝土拱坝的垂线观测数据,应用 BP-ANN 的不同输入模式,对大坝的变形值进行了预报和分析,得出了一些有益的结论。