首页    期刊浏览 2024年07月07日 星期日
登录注册

文章基本信息

  • 标题:Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM
  • 本地全文:下载
  • 作者:Yong Qin ; Zhenyu Zhang ; Bo Chen
  • 期刊名称:Journal of Intelligent Learning Systems and Applications
  • 印刷版ISSN:2150-8402
  • 电子版ISSN:2150-8410
  • 出版年度:2013
  • 卷号:5
  • 期号:4
  • 页码:237-244
  • DOI:10.4236/jilsa.2013.54028
  • 出版社:Scientific Research Publishing
  • 摘要:Security situation awareness is a new technology about security. This paper brings it to the assessment of security situation of metro station which serves as a new way to secure the security of passengers as well as the operation of the metro station. This paper sets up an index system for assessing the security situation awareness and makes a prediction model for the security situation of metro station based on PSO/SVM after doing lots of researches and analyses. Furthermore, through case studies, we find that the model has high accuracy and ability to accurately predict the security situation of metro station in the future and a certain practical value.
  • 关键词:Situation Awareness; Situation Prediction; Index System; PSO; SVM
国家哲学社会科学文献中心版权所有