Computer Prediction Model of the Election Result through BP Neural Network and Principal Component Analysis
Xiaowen Lin, Shihao Guo, Zhangteng Ma · 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) · 2021
The change of political parties is often accompanied with the economic changes. We divided the impact on the economy into two parts, namely economic trend without policy intervention and economic trend under policy intervention. We established a regression model to predict the economic impact factors of China and the United States in the following 6 years. We used BP neural network to fit the data, thereby obtaining the quantitative relationship between economic indicators and various economic impact factors, so that we can obtain the trend without policy intervention.