Tianxing Ma1, Tianqi Wu2, Haoyu Yu3
1School of Resources and Safety Engineering, Central South University, Changsha, Hunan, 410083
2School of Public Administration, Central South University, Changsha, Hunan, 410083
3School of Economics and Finance, Shanxi University of Finance and Economics, Shanxi, 030000
The US presidential election is held every four years. 2020 is the year of US presidential election, with Republican candidate Donald Trump and Democratic counterpart Joe Biden running for president. The results of this election are not only of great significance to the economic development of the U.S., but will also have an important impact on the development of Sino-US trade and the world economy. We need to consider the policy measures taken after the election of Republican candidate Donald Trump and Democratic candidate Joe Biden to determine the corresponding economic change indicators, and collect data related to the domestic economy during the president’s administration in the past few years. Correlation analysis is used to obtain the Pearson coefficient, which eliminates the more relevant indicators, and uses the remaining indicators to establish the back-propagation (BP) neural network economic impact prediction model after Trump and Biden are elected respectively. We obtain the economic development trend of the U. S. in the next few years through model solving.
Correlation analysis, BPNN, Genetic Algorithm, Economy Prediction Model
Tianxing Ma, Tianqi Wu, Haoyu Yu. Determine the impact on the U.S. and China’s economy based on Correlation analysis. Academic Journal of Business & Management (2021) Vol. 3, Issue 4: 31-36. https://doi.org/10.25236/AJBM.2021.030408.
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