Research on Financial Data Analysis and Early Warning Model of Vocational Colleges Based on Particle Swarm Optimization

Abstract

A financial early warning model of vocational schools is proposed in this study based on the least squares support vector machine. In the model, the relevant data is provided by particle swarm optimization. By designing appropriate verification performance indicators and using the particle swarm optimization method, the correlation value of the vector machine was optimized for minimizing the multiplication, and through the data of listed companies, the financial analysis of vocational colleges was verified. The simulation results showed that the simulation accuracy of the method was satisfactory, and the method was also reasonable and efficient.