摘要
根据小波分析和神经网络在处理复杂非线性问题上的优势,建立小波神经网络模型对大庆路淮河公路桥主梁面标高偏差进行预测。结果表明,此模型预测精度较高,对桥梁的施工监控具有重要的指导意义。
According to the advantages of wavelet analysis and neural network in dealing with complex nonlinear problems,this paper established the wavelet neural network model to predict the bridge deck elevation error.The result shows that the prediction accuracy of model is higher,which can provide a certain guiding significance for the bridge construction monitoring.
出处
《地理空间信息》
2017年第8期99-100,105,共3页
Geospatial Information
基金
湖南省重点实验室开放研究基金资助项目(PHLHD201311)
关键词
小波分析
神经网络
桥梁
预测
wavelet analysis
neural network
bridge
predict
