摘要
塔式起重机是一种事故发生率高的特种建筑施工机械。应用Elman神经网络构建塔机状态参数与施工安全状态类别之间映射关系。将其应用于实际塔机安全状态模式识别,结果表明该方法切实有效。
The tower crane is a special construction machinery with high accident rate. In this paper, a Elman neural network is established which reflects mapped relationships of the state parameters of tower crane and the work state class. This method is applied to the safety state model identification of tower crane. The results show that the method is feasible and practical.
出处
《机械研究与应用》
2013年第1期66-68,71,共4页
Mechanical Research & Application
关键词
ELMAN神经网络
塔式起重机
建筑施工
模式识别
Elman neural network
tower crane
architectural construction
model identification
