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计算机系统应用英文版:2011,20(6):243-247
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基于GA—BP 神经网络的建筑安全评价
(天津财经大学, 天津 300222)
Construction Safety Evaluation Based on Genetic Algorithms and BP Neural Network
(Tianjin University of Finance and Economics, Tianjin 300222, China)
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Received:December 12, 2010    Revised:January 10, 2011
中文摘要: 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。
Abstract: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.
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基金项目:天津市哲学社会科学研究规划资助项目(TJGL08-010)
引用文本:
吕景刚,朱孔国.基于GA—BP 神经网络的建筑安全评价.计算机系统应用,2011,20(6):243-247
LV Jing-Gang,ZHU Kong-Guo.Construction Safety Evaluation Based on Genetic Algorithms and BP Neural Network.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):243-247