基于小波神经网络的城市地铁施工变形预测

Research on the Prediction of Urban Subway Deformation Monitoring Based on Wavelet Neural Network

结合小波分析和神经网络,建立了小波神经网络预测模型和改进的小波神经网络模型,并将其应用到某地铁施工变形预测中。3种预测模型(传统的神经网络、小波神经网络和改进的小波神经网络)的对比分析表明,改进的小波神经网络模型精度高,具有很好的应用前景。

Combining wavelet analysis and neural network, this paper adds the momentum to establish a wavelet neural network prediction model and a modified wavelet neural network which have been applied into the real cases of deformation prediction of a subway. Through the comparative analyses of three kinds of prediction models which are the traditional neural network, the wavelet neural network and the modified wavelet neural network, experiments show that the modified wavelet neural network model possesses a higher accuracy and better application prospect.