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dc.contributor.authorHe, Weida-
dc.contributor.authorSheng, Zhonglin-
dc.contributor.authorHao, Rong-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.description.abstractThis study elaborates on the evaluating indicator system of mining industry security, and presents a method of combination between entropy and grey relation and makes an assessment of the security situation in China’s mineral mining industry during the period from 2002 to 2009. Then, this study establishes a safety warning model for the mineral resources industry based on BP neural network and simulates the warning of related security conditions. The final analysis finds that warning effect simulation and empirical assessment results of the model are basically the same and this further demonstrate the effectiveness of this study.en_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.75(01) [January 2016]en_US
dc.subjectMineral Resourcesen_US
dc.subjectIndustrial Securityen_US
dc.subjectAssessment Systemen_US
dc.subjectEarly Warningen_US
dc.titleA Productivity Analysis of the Industrial Security in the Mineral Resources Mining Industryen_US
Appears in Collections:JSIR Vol.75(01) [January 2016]

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