基于小波神经网络的地铁沉降预测

Prediction of Subway Settlement Based on Wavelet Neural Network

文章以南宁市某地铁区段沉降数据为例,利用小波变换和神经网络结合的方法,运用MATLAB构建整合模型对地铁沉降进行预测。通过实验分析比较小波神经网络模型的预测和单一BP神经网络模型预测之间的数据结果,以此证明小波神经网络在地铁沉降预测中的优越性。

Taking the settlement data of a subway section in Nanning City as an example,this paper uses the method of wavelet transform and neural network to build an integrated model to predict the subway settlement.Through experimental analysis and comparison of the data results between wavelet neural network model and single BP neural network model,the superiority of wavelet neural network in subway settlement prediction is proved.