BP neural network predictive model for stray current density of a buried metallic pipeline

doi:10.1108/00035591011075869

	BP neural network predictive model for stray current density of a buried metallic pipeline
	Cao, A. Lin 1,2; Zhu, Qing Jun 2; Zhang, Sheng Tao 1; Hou, Bao Rong 2
	2010
发表期刊	ANTI-CORROSION METHODS AND MATERIALS
卷号	57 期号:5 页码:234-237
文章类型	Article
摘要	Purpose - The purpose of this paper is to analyze and estimate the stray current corrosion hazard of a buried metallic pipeline using a predictive model for stray current density.
关键词	Pipelines Electric Current Corrosion Predictive Process
DOI	10.1108/00035591011075869
收录类别	SCI
语种	英语
WOS记录号	WOS:000283680000002
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/32780
专题	海洋环境腐蚀与生物污损重点实验室
作者单位	1.Chongqing Univ, Coll Chem & Chem Engn, Chongqing 630044, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
第一作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Cao, A. Lin,Zhu, Qing Jun,Zhang, Sheng Tao,et al. BP neural network predictive model for stray current density of a buried metallic pipeline[J]. ANTI-CORROSION METHODS AND MATERIALS,2010,57(5):234-237.
APA	Cao, A. Lin,Zhu, Qing Jun,Zhang, Sheng Tao,&Hou, Bao Rong.(2010).BP neural network predictive model for stray current density of a buried metallic pipeline.ANTI-CORROSION METHODS AND MATERIALS,57(5),234-237.
MLA	Cao, A. Lin,et al."BP neural network predictive model for stray current density of a buried metallic pipeline".ANTI-CORROSION METHODS AND MATERIALS 57.5(2010):234-237.

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文件名称/大小	文献类型	版本类型	开放类型	使用许可
BP neural network pr（165KB）	期刊论文	出版稿	限制开放	ODC PDDL	浏览