Comparative study on vulnerability assessment for urban buried gas pipeline network based on SVM and ANN methods Academic Article

authors

• Wang, Qingsheng

published proceedings

• PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

author list (cited authors)

• Li, F., Wang, W., Xu, J., Yi, J., & Wang, Q.

citation count

• 27

complete list of authors

• Li, Feng||Wang, Wenhe||Xu, Jiang||Yi, Jun||Wang, Qingsheng

publication date

• February 2019

publisher

• Elsevier  Publisher

published in

• Process Safety and Environmental Protection: Transactions of the Institution of Chemical Engineers, Part B  Journal

keywords

• Artificial Neural Network (ann)
• Gas Pipeline Network
• Risk Management
• Support Vector Machine (svm)
• Vulnerability Assessment

Digital Object Identifier (DOI)

• 10.1016/j.psep.2018.11.014

start page

• 23

end page

• 32

volume

• 122

URL

• http://dx.doi.org/10.1016/j.psep.2018.11.014