Urban Cultural Industry Management System and Public Economic Based on Improved Algorithm

Area of Science:

• Urban planning and development
• Public economics
• Cultural industry management

Background:

• Sustainable financial development and social reliability in metropolises are critical issues.
• Urban cultural industry management and public economy are increasingly important societal focuses.
• Coordinated improvement of urban economies and societies is a key academic and governmental concern.

Purpose of the Study:

• To study and apply an improved algorithm to urban cultural industry management and public economic analysis.
• To investigate the correlation between urban cultural industry management and economic development.
• To evaluate a city's regional economy using an improved Self-Organizing Map (SOM) algorithm.

Main Methods:

• Development of an improved algorithm integrating particle swarm optimization and SOM.
• Analysis of the relationship between urban cultural industry management and economic factors.
• Application of the improved SOM algorithm for regional economic evaluation.

Main Results:

• The improved SOM algorithm was successfully applied to evaluate a city's regional economy.
• Contribution rates of eight economic indicators to county-level economic development varied.
• The cumulative contribution of the top four principal components reached 83%.

Conclusions:

• The improved SOM algorithm is effective for urban cultural industry management and economic analysis.
• Understanding the differential contribution of economic indicators is crucial for targeted development strategies.
• The study provides a quantitative framework for assessing regional economic development within cities.