Research on GDP Prediction of Hebei Province Based on BP Neural Network
Gross Domestic Product (GDP) is the final result of the production activities of all resident units in a country ( or region) over a certain period of time. To examine the current development status and prospects of a region,it is necessary to comprehensively consider the relationship between its GDP and other indicators. Therefore,regional GDP prediction is also an important and indispensable work. This article analyzes relevant literature and uses the Back Propagation ( BP) neural network model to predict the GDP of Hebei Province based on the data from 1989 to 2021. The data is divided into two groups. The training set is from 1989 to 2018,and the testing set is from 2019 to 2021. Finally,the actual relative errors between the predicted and expected values are compared. The results show that the relative error of the model's prediction results is basically controlled within 5％,and it can effectively predict the GDP of Hebei Province.
GDPregional GDP forecastBP neural networkactual relative error
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