Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data | |
Zhou, L; Cai, LJ; Jiang, L; Chen, LN | |
刊名 | IEEE ACCESS |
2019 | |
卷号 | Vol.7页码:111324-111331 |
关键词 | Risk identification neural network big data intelligent audit platform power system |
ISSN号 | 2169-3536 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4750978 |
专题 | 湖南大学 |
作者单位 | 1.Guangdong Power Grid Co Ltd, Audit Ctr, Guangzhou 510080, Guangdong, Peoples R China 2.Hunan Univ, Hunan Key Lab Intelligent Informat Anal & Integra, Changsha 410082, Hunan, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, L,Cai, LJ,Jiang, L,et al. Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data[J]. IEEE ACCESS,2019,Vol.7:111324-111331. |
APA | Zhou, L,Cai, LJ,Jiang, L,&Chen, LN.(2019).Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data.IEEE ACCESS,Vol.7,111324-111331. |
MLA | Zhou, L,et al."Power Grid Enterprise Intelligent Risk Identification Model Considering Multi-Attribute and Low correlation Data".IEEE ACCESS Vol.7(2019):111324-111331. |
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