| 基于ART-2人工神经网络的煤矿安全风险评价 |
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| 引用本文： | 刘海滨,李光荣,刘欢,许静超.基于ART-2人工神经网络的煤矿安全风险评价[J].中国安全生产科学技术,2014(2):81-85. |
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| 作者姓名： | 刘海滨 李光荣 刘欢 许静超 |
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| 作者单位： | 煤炭资源与安全开采国家重点实验室;中国矿业大学〈北京〉管理学院 |
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| 基金项目： | 教育部重点科技项目(109032);教育部新世纪优秀人才支持计划项目资助(NCET-10-772);中央高校基本科研业务费项目资助(2009QG10) |
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| 摘 要： | 旨在为煤矿安全风险预控管理提供一种适用的风险评价模型或方法。研究过程中,介绍了人工神经网络自适应共振理论的ART-2算法;在安全系统工程理论及相关研究基础上,结合调研分析建立了风险评价指标体系;选取山西9家煤矿作为研究样本进行实证研究。该算法仿真识别结果与煤矿实际安全风险情况一致性程度达到77.78%,表明针对煤矿安全风险预控管理过程中的安全风险评价,ART-2神经网络具有较好的适用性。
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| 关 键 词： | 煤矿安全 风险评价 神经网络 ART-算法 |
Coal mine safety risk assessment based on ART-2 neural network |
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| LIU Hai-bin;LI Guang-rong;LIU Huan;XU Jing-chao.Coal mine safety risk assessment based on ART-2 neural network[J].Journal of Safety Science and Technology,2014(2):81-85. |
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| Authors: | LIU Hai-bin;LI Guang-rong;LIU Huan;XU Jing-chao |
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| Institution: | LIU Hai-bin;LI Guang-rong;LIU Huan;XU Jing-chao;State Key Laboratory of Coal Resources and Safety Mining (CUMT);Management School,China University of Mining & Technology (Beijing); |
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| Abstract: | In order to find an applicative risk assessment model or method for coal mine safety risk pre-controlling management, the ART-2 artificial neural network algorithm was introduced, the safety system management theory was taken as foundation to establish a risk evaluation index system, and the security risk evaluation index datas of 9 coal mines were choosen as the research samples for simulation study. In the simulation results of ART-2 algorithm, 7 of the 9 coals were consistent with the actual safety risk situation of coal mines. It showed that the ART-2 neural network algorithm is an applicative method for coal mine risk assessment in the process of safety risk pre-controlling management. |
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| Keywords: | coal mine safety risk assessment neural network ART-2 algorithm |
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