Abstract
The international crude oil price has the important economic significance and the political significance, the crude oil price forecast research has the far-reaching significance. There are many influencing factors of international crude oil prices. In this paper, we select the main influencing factors as predictors, and use Matlab programming method combined with BP (Back Propagation) neural network modeling to predict the WTI international oil price finally. In addition, the use of Eviews9.0, the establishment of ARIMA (Autoregressive Integrated Moving Average Model), the same forecast WTI oil prices. The two forecasting methods have the same forecasting trend and have some guidance and guidance on the international crude oil price forecasting research.
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