基于小波神经网络对铁路客运量的预测研究

Prediction of Railway Passenger Volume Based onWavelet Neural Network

在现代交通运输中,铁路运输的地位很高,通过建立小波神经网络模型,对客运量做出预测。首先将原始数据通过小波去噪,然后进行归一化处理,最后基于小波神经网络建立预测模型,通过对比未去噪的和去噪,发现去噪后的模型误差小。

In the modern transportation,the position of the railway transportation is very high.In this paper,wavelet neural network model is established to predict the passenger volume.Firstly,the original data is denoised by wavelet,and then normalized.Finally,the prediction model is established based on wavelet neural network.By comparing the non denoised and denoised data,it is found that the model error after denoising is small.