摘要
为了能够及时对地铁变形情况做出有效预测,该文建立了小波-BP神经网络预测模型。通过与BP神经网络模型预测结果的对比,我们得到小波-BP神经网络模型比BP神经网络模型的预测结果精度更高,模型更稳定,能够为地铁变形监测提供更有价值的参考。
In order to make effective prediction to metro deformation timely,this paper establishes the wavelet-BP neural network prediction model. Through comparing the predicted results with the BP neural network model,we obtain that the precision of predicted results by the wavelet-BP neural network model is higher than the results by BP neural network model. The wavelet-BP neural network model is more stable,and it can provide more valuable reference for the deformation monitoring of metro.
出处
《勘察科学技术》
2015年第4期50-52,共3页
Site Investigation Science and Technology
关键词
小波
BP神经网络
变形监测
预测
wavelet
BP neural network
deformation monitoring
prediction
