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基于神经网络的斜拉桥检测参数相关分析
引用本文:黄伦,马军海,蔡敏. 基于神经网络的斜拉桥检测参数相关分析[J]. 合肥工业大学学报(自然科学版), 2004, 27(5): 500-503
作者姓名:黄伦  马军海  蔡敏
作者单位:合肥工业大学,土木建筑工程学院,安徽,合肥,230009;合肥工业大学,土木建筑工程学院,安徽,合肥,230009;合肥工业大学,土木建筑工程学院,安徽,合肥,230009
摘    要:斜拉桥是一种高次超静定结构,检测评估所需的测点多、参数多。拟通过应用人工神经网络经过神经元作用函数的复合,设法寻求一种途径能确定斜拉桥各检测测点参数之间的相关关系,以简化检测工作。通过BP人工神经网络对斜拉桥实测资料的分析,证明斜拉桥各测点的各参数间确实存在一定的相关关系。

关 键 词:斜拉桥  相关关系  BP人工神经网络
文章编号:1003-5060(2004)05-0500-04
修稿时间:2003-09-11

Correlation analysis of detection parameters of cable-stayed bridge based on neural network
HUANG Lun,MA Jun-hai,CAI Min. Correlation analysis of detection parameters of cable-stayed bridge based on neural network[J]. Journal of Hefei University of Technology(Natural Science), 2004, 27(5): 500-503
Authors:HUANG Lun  MA Jun-hai  CAI Min
Abstract:The cable-stayed bridge is a sort of high-degree statically indeterminate structure,and the amounts of the points that need to be detected and the parameters that need to be evaluated are quite large. In order to simplify the detection work,an approach which is based on the neural network is presented for the determination of the correlativity of parameters among the detection points on the cable-stayed bridge. The analysis results of a practical example show that there indeed exists certain correlativity of the parameters among the detection points.
Keywords:cable-stayed bridge  correlativity  BP artificial neural network
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