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	An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines
刊名	JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
	2019
卷号	60页码:1-8
关键词	Natural gas pipeline reliability Artificial neural network Intelligent algorithm optimization Corroding pipeline Monte Carlo simulation
ISSN号	0950-4230
DOI	10.1016/j.jlp.2019.03.010
URL标识	查看原文
收录类别	SCIE
WOS记录号	WOS:000476963600001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6253526
专题	中国石油大学（北京）
推荐引用方式 GB/T 7714	. An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines[J]. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES,2019,60:1-8.
APA	(2019).An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines.JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES,60,1-8.
MLA	"An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines".JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES 60(2019):1-8.

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