Innovative Research on Urban Community Governance Decision-Making Relying on Distributed High-Performance Computing Blockchain Key Algorithms.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
18
01
2022
accepted:
16
02
2022
entrez:
25
3
2022
pubmed:
26
3
2022
medline:
29
3
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35330600
doi: 10.1155/2022/4078014
pmc: PMC8940554
doi:
Types de publication
Journal Article
Retracted Publication
Langues
eng
Sous-ensembles de citation
IM
Pagination
4078014Commentaires et corrections
Type : RetractionIn
Informations de copyright
Copyright © 2022 Jun Wen and Peihong Xie.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.
Références
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Cell Syst. 2017 Feb 22;4(2):194-206.e9
pubmed: 28089542