Who is the Better Leader?
Based on Linear Regression and Neural Network Model to Predict the Post Election Performance of the United States
- DOI
- 10.2991/assehr.k.210519.226How to use a DOI?
- Keywords
- American election, linear regression, neural network prediction
- Abstract
The general election of the United States has ended, and Biden has been elected president of the United States. Domestic and international scholars in the United States are studying Biden’s economic and political adjustments in different ways, especially the differences compared with trump's. Who will make greater contribution to the development of the United States? In this paper, we determine four indicators to measure the performance of leaders: GDP, CPI, trade balance and unemployment rate.By searching the historical data on the relevant official websites of the United States, linear regression model and neural network model are established to predict the ruling data of different leaders in the future. The results were analyzed visually, and the differences of different leaders in the above indicators were discussed, and the relatively reliable judgments were given. Finally, we analyze the reliability of the prediction, and prove that our prediction has a certain reference value. We also pointed out our shortcomings and proposed to consider the in-depth research direction of the international influence of different US leaders.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zeheng Zhang AU - Yi Jing AU - Weihua Li AU - Zenyu Guo AU - Yixuan Zhao PY - 2021 DA - 2021/05/20 TI - Who is the Better Leader? BT - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) PB - Atlantis Press SP - 1137 EP - 1140 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210519.226 DO - 10.2991/assehr.k.210519.226 ID - Zhang2021 ER -