Yiqing Huang, Jianxiong Xu, Shiqun Wang, and Qi Li. Research on Prediction of Goods Import and Export Data Based on BP Neural Network Based on Matlab. Dynamic Systems and Applications 30 (2021) No.4, 565-575

https://doi.org/10.46719/dsa20213044

ABSRTACT.
With the rapid development of service trade in China, the export value of trade and the import value of trade are ranked first in the world. However, due to the impact of economic environment, China’s trade has been in deficit for many years. In the development of China’s service trade, it has an adverse impact on economic security. Therefore, it analyzes the economic benefits and constructs the relevant mechanism in view of this current situation. According to the data change, carry on the trade imbalance control, realizes our country trade fast sustainable development strategy. In this paper, BP neural network is used as the main algorithm in data mining for information processing, and BP neural network data model is used to establish the prediction model of import and export data of goods. A prediction model is established for the import and export of goods and related variables, so as to realize the prediction of the result data. In this paper, multiple linear regression prediction algorithm and BP neural network prediction algorithm are respectively used to carry out prediction. Through modeling, it is found that the import and export data of goods can obtain the data prediction effect through MATLAB prediction, so as to realize the expected economic development.

Keywords: BP neural network, MATLAB, import and export of goods, data forecasting, the ministry of foreign trade.