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.

Hengyu Lyu,Yuwen Chang.Research on International Crude Oil Price Forecasting Model.  International Journal of New Developments in Engineering and Society (2017) Vol.1, Num.3: 78-81.

[1] Liu Jinpei, Lin Sheng. A Nonlinear Time Series Prediction Model and Prediction of Crude Oil Price [J] .Management Science, 2011, 06: 104-112.
[2]relaxation. Speculation on the impact of international oil prices [D]. Shanghai Academy of Social Sciences, 2009.
[3]XIONG Xiong, LI Xuan.Study on the Prediction of International Crude Oil Price [J]. Journal of Chongqing University of Technology (Natural Science), 2016, 01: 48-53.
[4]YIN Jia-yin, TANG Bao-jun. Analysis of the Impact of Major Global Oil Events on International Oil Prices [J]. China Energy, 2016, 02: 20-24.
[5]Zhao Lutao, Jiang Shouming. 2016 International Crude Oil Price Analysis and Trend Forecasting [J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2016 ,02: 8-12.
[6]Zhou Detian, Yu Haiyan. Journal of Henan University of Science and Technology, 2016,04: 611-617. Research on the Impact of International Oil Price Fluctuation on Domestic Price Level - An Empirical Analysis Based on VAR Model [J].
[7]Yu Tao. Review of 2015 International Crude Oil Market and Prospects for 2016 [J]. Modern Commerce, 2016,11: 104-106.
[8]He Xiaowei, Guo Hong.Analysis of the Influencing Factors of International Crude Oil Price and Countermeasures [J]., 2016,04: 39-50 + 132.
[9]Jing Keyao, Jiang Zhenqiang, Hu Yan, Meng Xin.Effects of low oil prices on the benefits of domestic and foreign oil companies and countermeasures [J]. Contemporary Petroleum & Petrochemical, 2016,03: 1-7.
[10]Zhang Maorong, Chen Qingyi. Reasons and effects of the agreement reached by the four major oil-producing countries on "freezing" [J] .Annual Report for Research, 2016,03: 41-47 + 57.
[11]Lu Xiao. International oil price fluctuations on China's economic impact and transmission mechanism [D]. China University of Mining and Technology, 2015.
[12]Guo Qi. International crude oil price formation mechanism and the fluctuation factor analysis [D]. Tianjin University, 2010.
[13]Hu Yue, Li Mei, Zhou Yanwei.Application comparison of gray model and time series analysis in refined oil prices [J]. Examination Weekly, 2015,77:196.