Abstract: In order to improve prediction accuracy of BP neural network model, a prediction model is presented based on combined AdaBoost algorithm and BP neural network. The efficiency of the proposed prediction model is proved by predicting the railway freight volume statistical data from the 1999 to 2009 in China. The computer simulations have shown that this model is effective and suitable, has higher forecasting accuracy, and is applicable to practice.