摘要
煤矿事故给人类带来了巨大的灾难,造成了难以估量的人员伤亡及财产损失。为了有效应对煤矿事故,本文研究了煤矿事故应急管理的定量化模型,提出了因子分析与BP神经网络相结合的安全预警方法。利用因子分析确定了煤矿应急管理安全预警指标,采用BP神经网络建立了安全预警模型,借助MATLAB中的神经网络工具箱进行了仿真训练和检测,得出煤矿应急管理的安全状况,为煤矿企业应急管理安全预警提供了一种新的方法。
Coal mine accidents have brought huge disasters to mankind, resulting in heavy casualties, incalculable injuries and loss of properties. In order to effectively response to accidents probably happening in coal mine, a safety warning model was built by factor analysis combined with BP neural network. In the method, the coal mine safety emergency management early warning index is determined by factor analysis and the safety early warning model is assessed by the BP. With the neural network toolbox in the MATLAB for early warning simulation experiment and detec- tion, then it arrives at the safety status of mine emergency management, and this can provide a new method for the security early warning of coal mine emergency management.
出处
《科技和产业》
2013年第10期145-148,共4页
Science Technology and Industry
关键词
煤矿安全
应急管理
安全预警
BP网络
因子分析
construction safety
emergency management
safety early warning
BP network
factor analysis
