Analysis of Sino-U.S. Economic Impact Based on LSTM Neural Network

Abstract:
In order to study and predict the economic impact on China of different political parties on the United States in the future, and put forward targeted suggestions for China's economic countermeasures and policies in relevant fields. This paper analyses and processes the collected data by PCA principal component analysis, step-by-step analysis, time series prediction model and LSTM neural network model, and processes the data and visualization through python, MATLAB, SPSS and other software. Finally, combined with the actual situation, the paper puts forward the relevant policies and suggestions.