Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM-Reference-Cited by-同舟云学术

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Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM

Published:2021-09 Issue: Volume:109 Page:107541
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Huang Wencheng^ORCID,Liu Hongyi,Zhang Yue,Mi Rongwei,Tong Chuangui,Xiao Wei,Shuai Bin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference76 articles.

1. China railway,2018

2. Study on coupling risk formation mechanism of railway dangerous goods transportation system based on N-K model;Huang;J. China Railway Soc.,2019

3. Using entropy-TOPSIS-coupling and coordination model to evaluate railway dangerous goods transportation system risk;Huang;China Saf. Sci. J.,2018

4. Using improved WBS-rbs to identify the risk of railway dangerous goods transportation process;Huang;China Saf. Sci. J.,2018

5. Research on risk investigation of major fire in buildings based on safety checklist method;Long;Jiangxi Chem. Eng.,2017

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