摘要
针对目前我国建筑安装施工现场安全评价技术的不成熟和欠科学性的现状 ,笔者分析和综合了目前安全评价技术 ,结合建筑业特点 ,提出了基于BP神经网络的建筑安装施工现场安全评价方法 ,并对该评价模型的原理、方法及算法进行了研究。首先 ,结合建筑安装施工现场安全生产的特点建立评价指标体系 ,随后 ,运用层次分析法确定指标及准则层的权重 ,并运用模糊综合评价法生成评价样本集 ,最后 ,利用样本集训练BP网络 ,待误差满足要求后 ,即可运用训练成功的BP神经网络进行安全评价。
The comprehensive safety assessment of construction installation sites was put forward based on BP neural network. The criteria of safety assessment were proposed, and ANN training samples were got by AHP-Fuzzy assessment method. The working mechanism of artificial neural network and the course of ANN system training were provided. It could be concluded that BP neural network is an effective method and tool in the comprehensive safety assessment of construction installation sites.
出处
《中国安全科学学报》
CAS
CSCD
2004年第12期100-103,共4页
China Safety Science Journal
关键词
施工现场
建筑安装
安全评价技术
BP网络
BP神经网络
建筑业
层次分析法
评价指标体系
评价模型
模糊综合评价法
Safety assessment Artificial neural network (ANN) BP network (Back propagation neural network) Construction installation sites Analytic Hierarchy Process (AHP) Fuzzy comprehensive safety assessment