학술논문
Prediction of GDP in Time Series Data Based on Neural Network Model
Document Type
Conference
Author
Source
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Artificial Intelligence and Industrial Design (AIID), 2021 IEEE International Conference on. :20-23 May, 2021
Subject
Language
Abstract
Gross domestic product(GDP) is an important macro index to measure a country's national strength. As a typical time series data, it has certain rules. Therefore, this paper analyzes and processes the GDP data from 1980 to 2020 based on Matlab2014b software and Excel software. The program of BP neural network is written to predict the GDP value of China in the next 5 years (2021–2025). Through the operation of the model, this paper obtains the predicted value of China in the future 5. The results show that the GDP value of China in the future is still in a rising stage, which is consistent with the historical trend. Therefore, it is effective to use neural network model to forecast GDP of time series data.