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基于BP神经网络算法的悬索桥损伤识别研究
引用本文:樊燕燕,李子奇.基于BP神经网络算法的悬索桥损伤识别研究[J].城市道桥与防洪,2008(6):127-130.
作者姓名:樊燕燕  李子奇
作者单位:兰州交通大学,甘肃兰州,730070
摘    要:该文基于神经网络损伤识别分析理论,以成都市清水河自锚式悬索桥为例,对将BP网络算法应用于悬索桥损伤识别的效果进行了分析研究。分析研究表明:BP神经网络不仅能对单一构件不同程度损伤进行有效识别,对两个构件的不同程度损伤也能进行一定程度的识别,并且可以同时进行损伤位置与损伤程度的识别。

关 键 词:神经网络  损伤识别  BP网络算法  悬索桥  损伤位置  损伤程度

Study of Damage Distinguishing of Suspension Bridge Base on BP Nerve Network Algorithm
Fan Yanyan,Li Ziqi.Study of Damage Distinguishing of Suspension Bridge Base on BP Nerve Network Algorithm[J].Urban Roads Bridges & Flood Control,2008(6):127-130.
Authors:Fan Yanyan  Li Ziqi
Abstract:Based on the nerve network damage distinguishing analysis theory and taking the self-anchored suspension bridge of Qingshui River in Chengdu City as an example,the article analyzes and studies the effect of BP network algorithm applied for the damage distinguishing of the suspension bridge. The analysis and the study make clearly that BP nerve network can not only efficiently distinguish the damages to varying degrees of single component,but also distinguish the different damages of two components to a cert...
Keywords:nerve network  damage distinguishing  BP network algorithm  suspension bridge  damage position  damage degree  
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