TITLE

Identification of Security Status of Production Logistics System in Coal Mine Based on RS-SVM

AUTHOR(S)
Wang Jin-Feng; Zhai Xue-Qi; Feng Li-Jie; Pan Yun-Bo
PUB. DATE
November 2013
SOURCE
Journal of Applied Sciences;2013, Vol. 13 Issue 22, p5452
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Identification of security status of production logistics system in coal mine is important to analyze the weak links and improve the safety level of coal mine safety production. Combining with the particularity and complexity of production logistics system of coal mine, this paper established an identification model of safe state by using the rough set theory (RS) and support vector machine method (SVM). It selected key safety index with the theory of rough set, and used SVM to identify safety status. It showed that identification model of security state based on RS-SVM simplified the computational complexity and improved the identification accuracy of security state.
ACCESSION #
91943556

 

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