The Application of Wavelet Neural Network in the Settlement Monitoring of Subway
Abstract: The settlement
monitoring of subway runs through the entire construction stage of subway. It
is very important to predict the accurate settlement value for construction
safety of subway. In this paper, the wavelet transform is used to denoise the
settlement data. The auxiliary wavelet neural network, embedded wavelet neural
network and single BP neural network are applied to predict the settlement of
Tianjin subway. Compared with single BP neural network and auxiliary wavelet
neural network, the embedded wavelet neural network model has a higher accuracy
and better prediction effect. The embedded wavelet neural network is more
valuable than the BP neural network model so it can be used in the prediction
of subway settlement.
Author: Yi Zhenghui
Journal Code: jptkomputergg170135
