基于GA—BP神经网络的建筑安全评价  

Construction Safety Evaluation Based on Genetic Algorithms and BP Neural Network

作　　者：吕景刚[1] 朱孔国[1] 

机构地区：[1]天津财经大学,天津300222

出　　处：《计算机系统应用》2011年第6期243-247,共5页Computer Systems & Applications

基　　金：天津市哲学社会科学研究规划资助项目(TJGL08-010)

摘　　要：建筑企业的安全问题不仅关系到建筑行业的发展,而且关系到社会的和谐与进步。从管理者的视角构建了建筑企业安全管理评价指标体系,并对指标之间的关系做了简要的说明。然后应用主成份分析对神经网络的输入数据进行预处理,提取其中的关键成分作为网络的输入,并采用遗传算法来提高神经网络的收敛速度。最后以天津市建筑企业为实例加以说明并进行了分析。结果表明,建立的模型不仅较公平、合理,而且提高了神经网络模型的学习效率。The safety management of construction enterprises has not only relation to the development of construction industry, but also has a strong impact on harmoniousness and progress of society. This paper constructed the evaluation index system from manager perspective, and explained the relationship of evaluation index briefly. Then, this paper applied the principle component analysis which carries on the pretreatment to the input data of nerve network, and withdrew essential ingredient as the input of the network. Subsequently, genetic algorithm was applied to improve the convergence ratio. Finally, the analysis results was given out based on the example of Tianjin city. The results indicate that the model is not only more fair but also reasonable. It improved the learning efficiency of the neural network model.

关 键 词：建筑安全管理 评价 遗传算法 神经网络 因子分析 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]