Application Research of Particle Swarm Algorithm in Bank Human Resource Management

In the era of knowledge economy, human resources as the first resource of enterprises have long become a consensus. However, human resource management in my country is still in its infancy. There are few studies on the relationship between the two, and the research conclusions are inconsistent. There are very few subjects for research. As the core of my country is banking industry, state-owned commercial banks affect the development direction of my country's banking industry, and their human resource management has its own unique features. However, due to my country's special national conditions, state-owned commercial banks have not been fully market-oriented, lacking a certain degree of independence and autonomy, and the impact of administrative intervention has led to human resource management in state-owned commercial banks that have not been developed as they should be. In a series of questions, in today's turbulent global financial environment, state-owned commercial banks need to improve their human resource management to enhance their sustainable competitiveness. Based on combing the research on the relationship between human resource management and corporate performance by domestic and foreign scholars and analyzing the status quo and problems of human resource management of state-owned commercial banks, this paper collects data through questionnaires and analyzes the reliability and validity of the data. Then use empirical analysis methods to study the relationship between human resource management of state-owned commercial banks and corporate performance. The research results show that there is a significant positive correlation between the human resource management practices of state-owned commercial banks and corporate performance, that is, improving the level of human resource management can promote the improvement of corporate performance.