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基于模糊聚类算法的电子档案分类管理系统

郑黎明

兵工自动化2024,Vol.43Issue(7):27-30,51,5.
兵工自动化2024,Vol.43Issue(7):27-30,51,5.DOI:10.7690/bgzdh.2024.07.006

基于模糊聚类算法的电子档案分类管理系统

Electronic Archives Classification Management System Based on Fuzzy Clustering Algorithm

郑黎明1

作者信息

  • 1. 保定市人才交流服务中心,河北 保定 071000
  • 折叠

摘要

Abstract

In order to enhance the management level of electronic archives,an electronic archives classification management system based on single tag radio frequency identification (RFID) is designed. Use RFID to build the system framework,realize the storage and transmission of RFID data through the central database and terminal manager module,and use four modules,including file management,file management,development and utilization,and system maintenance,to complete the daily operation and maintenance of electronic file classification management;The fuzzy clustering algorithm is introduced to extract the information entropy of electronic archives data,the association rules are used to achieve data fusion and autonomous scheduling,the feature decomposition data operation state information,and the neural network classifier is established to classify electronic archives. The experimental results show that the system achieves high load balancing,low CPU utilization,and has the advantages of high accuracy and fast response rate in classification management.

关键词

单标签RFID/电子档案/分类管理/系统设计/模糊聚类

Key words

single tag RFID/electronic archives/classification management/system design/fuzzy clustering

分类

信息技术与安全科学

引用本文复制引用

郑黎明..基于模糊聚类算法的电子档案分类管理系统[J].兵工自动化,2024,43(7):27-30,51,5.

兵工自动化

OA北大核心CSTPCD

1006-1576

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