利用BP神经网络模型辨识隧道施工的危险源  

Identify Danger Source in Tunnel Construction by Using BP Neural Network Model

作　　者：王小群[1] 张兴容[1] 杜志强[1] 

机构地区：[1]上海应用技术学院土木建筑与安全工程学院,上海200235

出　　处：《上海应用技术学院学报（自然科学版）》2009年第3期211-215,共5页Journal of Shanghai Institute of Technology: Natural Science

摘　　要：阐述了人工神经网络基本原理,研究分析了BP神经网络模型在隧道施工危险源辨识中的具体应用。某公司隧道施工的评价实例证明了这种研究在MATLAB软件的基础上进行的开发工作在安全领域中是实用的,根据辨识结果提出的"防灾"对策贯穿于事故发生的前、中、后过程,可收到更为明显的效果。In this paper, the basic principle of Artificial Neural Network（ANN）was introduced and the application of BP Neural Network Model in identifying the danger sources in tunnel construction was studied and analyzed. It was proved by an evaluation example in tunnel construction for some company that the secondary development on the basis of the software MATLAB is practical in the area of safety. It is obviously effective to bring forward the anti-disaster measures according to the results of recognition and then carry them out before, during and after an accident.

关 键 词：神经网络 隧道施工 防灾 

分 类 号：U455.1[建筑科学—桥梁与隧道工程]