Application of Wavelet Neural Network Prediction Model Based on Particle Swarm Optimization

Abstract

Talent is an important resource in the 21st century. For enterprises, cities and countries, the number of them is undoubtedly the key to increasing competitiveness. Cross-analysis was carried out on China’s first-line and new-tier cities, and the artificial intelligence industry was developed horizontally and vertically. Taking Xi’an, the bridgehead in the “Belt and Road” as an example, select Xi’an “GDP, social fixed investment, undergraduate and above talent demand ratio, undergraduate and above talent supply and demand ratio and the proportion of talent demand in various industries” indicators, using improved PSO algorithm to optimize wavelet neural network. The demand for talent in the seven major industries in Xi’an is predicted, and the employment situation of the IT industry is analyzed. Finally, based on the forecast results, we put forward decision-making suggestions for the future development of Xi’an.