蚁群神经网络在煤矿安全评价中的应用  

Application of Ant Colony Neural Network in Mine Safety Assessment

作　　者：何荣军[1] 张丽[1] 庞成[1] 陈雄[1] 

机构地区：[1]重庆工程职业技术学院,重庆400037

出　　处：《煤矿安全》2012年第4期178-180,共3页Safety in Coal Mines

摘　　要：煤矿安全评价是预防和控制煤矿灾害事故的重要内容。将蚁群算法和神经网络结合起来,用蚁群算法来训练神经网络的权值,建立了基于蚁群算法的神经网络安全评价模型,并将其应用于煤矿安全评价。经实践证明,该模型具有神经网络广泛映射能力和全局收敛的性能。Coal mine safety assessment is the major content in preventing and controlling the coal mine disasters.Combining ant colony algorithm with neural networks,neural network security evaluation model was established based on ant colony algorithm by using ant colony algorithm to train the neural network weights,which was applied to evaluate coal mine safety.Practice proved that this model had extensive mapping ability of neural network and rapid global convergence of ant colony algorithm.

关 键 词：煤矿 安全评价 蚁群算法 神经网络 

分 类 号：TD79[矿业工程—矿井通风与安全]