A beetle antennae search improved BP neural network model for predicting multi-factor-based gas explosion pressures-Reference-Cited by-同舟云学术

A beetle antennae search improved BP neural network model for predicting multi-factor-based gas explosion pressures

Published:2020-05 Issue: Volume:65 Page:104117
ISSN:0950-4230
Container-title:Journal of Loss Prevention in the Process Industries
language:en
Short-container-title:Journal of Loss Prevention in the Process Industries

Author:

Xu Ying,Huang Yimiao,Ma Guowei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference48 articles.

1. Flame deflagration in side-on vented detonation tubes: a large scale study;Ajrash;J. Hazard Mater.,2017

2. Side vented gas explosions in a long vessel the effect of vent position;Alexiou;J. Loss Prev. Process. Ind.,1996

3. Recent developments in the Baker-Strehlow VCE analysis methodology;Baker;Process Saf. Prog.,1998

4. Gas explosion handbook;Bjerketvedt;J. Hazard Mater.,1997

5. Investigation of the Behavior of Louver Panels Subjected to Gas Explosions. CM1 Report No. 25110-1, Chr;Bjorkhaug,1988

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