Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM

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ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

"Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM"
written by Yong Qin, Zhenyu Zhang, Bo Chen, Zongyi Xing, Jing Liu, Jun Li,
published by Journal of Intelligent Learning Systems and Applications, Vol.5 No.4, 2013

has been cited by the following article(s):

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[2]	Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation
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[3]	Financial Risk Prediction Model of Listed Companies Based on Particle Swarm Optimization Classifier
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[4]	Metro Station Safety Status Prediction Based on GA-SVR
	Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, 2016

[1]	A network security situation assessment method based on fusion model Discover Applied Sciences, 2024 DOI:10.1007/s42452-024-05723-6

[2]	Departure efficiency evaluation of a comprehensive transport hub based on Wi-Fi probe data and a multilayer hybrid model PLOS ONE, 2022 DOI:10.1371/journal.pone.0264473

[3]	Financial Risk Prediction Model of Listed Companies Based on Particle Swarm Optimization Classifier 2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2021 DOI:10.1109/ICMTMA52658.2021.00113

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