A forecasting model of time series based on wavelet neural network

In accordance with the forecasting problem of the short-term traffic flow, a prediction model based on wavelet neural network was put forward. And then, by analyzing the influencing factors about short-term traffic flow, the forecasting method of short-term time series is constructed. Compared with other methods, the model can effectively improve the forecasting accuracy. The experimental results show that the model is very effective for the prediction of the short-term traffic flow.