Comparative study on vulnerability assessment for urban buried gas pipeline network based on SVM and ANN methods-Reference-Cited by-同舟云学术

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

Published:2019-02 Issue: Volume:122 Page:23-32
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

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

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference51 articles.

1. Dynamic failure analysis of process systems using neural networks;Adedigba;Process Saf. Environ. Prot.,2017

2. Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian network;Argenti;Reliab. Eng. Syst. Safe.,2018

3. Multi-time scale stream flow predictions: the support vector machines approach;Asefa;J. Hydrol. (Amst),2006

4. Towards more detailed determination of third party impact on risk on natural gas pipelines: influence of population density;Bajcar;Process Saf. Environ. Prot.,2015

5. A Chronicle of Permutation Statistical Methods;Berry,2014

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