Affiliation:
1. School of Cultural Creative Industries Management, Shanghai Institute of Visual Arts, Shanghai 201620, China
2. School of Management, Shanghai University of International Business and Economics, Shanghai 201620, China
Abstract
Since the country began to go global, the country’s economy has developed rapidly, cultural exchanges between countries have become more and more frequent, and foreign cultures have begun to gradually spread to the country. At the same time, through the absorption of foreign community governance experience, domestic research on community governance has also begun to be put on the agenda. This paper aims to study the innovative exploration of urban community governance mechanisms through key high-performance computing algorithms. To this end, this paper proposes a combination of the Bayesian algorithm and distributed high-performance computing to analyze and explore the governance and management methods of the community through its efficient and stable computing power, and derive the most suitable community governance mechanism. An experiment was also set up for comparative analysis. The experimental results show that the community governance mechanism derived from the key distributed high-performance computing algorithm improves the community governance capability by 19.4%, effectively improving the community governance and management issues.
Funder
Research on the Supply and Demand Matching and Policy Optimization of Shanghai Rural Public Cultural Services under the Strategy of Rural Revitalization
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Cited by
1 articles.
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