|本期目录/Table of Contents|

[1]周忠科,王立杰.基于BP神经网络的煤矿安全预警评估机制研究[J].中国安全生产科学技术,2011,7(4):134-138.
 ZHOU Zhong-ke,?WANG Li-jie.Study on safety early-warning assessment in coal mine based on bp neural networks[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(4):134-138.
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基于BP神经网络的煤矿安全预警评估机制研究()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
7
期数:
2011年4期
页码:
134-138
栏目:
职业安全卫生管理与技术
出版日期:
2011-04-30

文章信息/Info

Title:
Study on safety early-warning assessment in coal mine based on bp neural networks
文章编号:
1673-193X(2011)-04-0134-05
作者:
周忠科12王立杰1
1.中国矿业大学(北京)管理学院,北京? 100083
2.中国神华煤制油化工有限公司,北京? 100011
Author(s):
ZHOU Zhong-ke12 ?WANG Li-jie1
1. The School of Management of China University of Mining and Technology (Beijing), Beijing? 100083, China
2. China Shenhua Coal to Liquid and Chemical Co., Ltd., Beijing? 100011, China
关键词:
安全预警神经网络煤矿评估体系
Keywords:
safety early-warning neural networks coal mine assessment in system
分类号:
X92
DOI:
-
文献标志码:
A
摘要:
从预警预控机制出发,针对煤矿安全生产的特点对其安全隐患进行识别,从而构建由人员行为、自然因素、组织管理等影响安全状态的预警体系。提出了基于BP神经网络的安全预警评估模型,并给出了模型的实例检验,建立了预警预控的运作流程,为煤矿安全生产的长效机制提供决策支持。
Abstract:
The paper proposes early-warning assessment system based on BP neural networks, which influenced by human behavior, natural factor and management. Through the safety hazard identification aimed at coal mine safe operation, the model is testing through the case study of 5 coal mines. The paper put forwards the early-warning and pre-control process for support persistent effect mechanism of safety production.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2011-03-12
更新日期/Last Update: