MINE VENTILATION SAFETY EVALUATION BASED ON ARTIFICIAL NEURAL NETWORK-FUZZY CONTROL THEORY

被引：0
作者：
Huang, Junxin [1 ,2 ]
Liu, Heqing [3 ]
Wang, Haiqiao [3 ]
机构：
[1] Hunan Inst Technol, Inst Human Factor Engn & Safety Management, Hengyang 421002, Hunan, Peoples R China
[2] Hunan Inst Technol, Inst Ventilat Safety Tech & Management, Hengyang 421002, Hunan, Peoples R China
[3] Hunan Univ Sci & Technol, Hunan Key Lab Safe Min Tech Coal Mines, Xiangtan 411201, Hunan, Peoples R China
来源：
OXIDATION COMMUNICATIONS | 2016年 / 39卷 / 2A期
基金：
湖南省自然科学基金;
关键词：
neural network; fuzzy control theory; comprehensive evaluation; MANAGEMENT; RISKS;
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
In this paper, safety evaluation index of mine ventilation system is established using artificial neural network and fuzzy control theory. Fuzzy comprehensive theory model is constructed. The evaluation index is calculated according to this model, and credible level is also assessed. The calculated results show that this method can solve a lot of uncertainty question about the evaluation of mine ventilation, and can also carry on the quantitative analysis. Examples show that the fuzzy comprehensive model has high credibility in evaluating mine ventilation reliability of risk classification. The calculation result is consistent with engineering measured values.
引用
收藏
页码：2026 / 2033
页数：8
相关论文
共 16 条
[1]  
ARUL FRANCO P., 2014, OXID COMMUN, V37, P802
[2]  
Bjelajac Z, 2014, OXID COMMUN, V37, P379
[3]  
CHEN K. Y., 2007, J MIN SAF ENG, V24, P37
[4]  
[程磊 Cheng Lei], 2005, [中国安全科学学报, China Safety Science Journal], V15, P88
[5]  
Hua MZ, 2015, OXID COMMUN, V38, P1458
[6]  
Jing G.X., 2001, CHINA SAF SCI J, V11, P65
[7]  
Kukeyeva FT, 2015, OXID COMMUN, V38, P1480
[8]  
[李树刚 LI Shugang], 2006, [北京科技大学学报, Journal of University Science and Technology Beijing], V28, P101
[9]  
LU G., 2008, J MINING SAFETY ENG, V25, P244
[10]  
Ngcobo TA, 2006, J S AFR I MIN METALL, V106, P251
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