神经网络在铁矿实验室安全状态评判中的应用  

Application of neural network in evaluation for safety status of iron ore laboratory

作　　者：陈颖娜[1] 李雪莲[1] 余春晖[1] 应海松[1] 

机构地区：[1]北仑出入境检验检疫局综合技术服务中心,浙江宁波315800

出　　处：《中国冶金》2016年第10期80-85,共6页China Metallurgy

摘　　要：神经网络是一种人工智能,也是目前大数据应用的重要手段之一。尝试利用神经网络建立数学模型对铁矿实验室安全进行评判,从安全识别开始,以实验室安全状态的历史数据库作为神经网络学习样本,将实验室质量体系管理中的安全检查情况作为问题输入,经过模型的运算,得出铁矿实验室安全状态的辨识,达到与常规手段同样的目的。Neural network is a kind of artificial intelligence.It is also one of important methods of big data application now.In order to evaluate iron ore laboratory safety,the mathematical model is established by use of neural network.Beginning with the safety recognition,the historical database for status of laboratory safety is established to be used as the neural network training samples.The situation of safety examination in the laboratory quality managing system is imported as the question and calculated by the model.Then the recognization of status of iron ore laboratory safety is obtained,which can achieve the same goal when using the traditional methods.

关 键 词：神经网络 铁矿实验室 安全 评判 

分 类 号：TD7[矿业工程—矿井通风与安全] TP183[自动化与计算机技术—控制理论与控制工程]