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基于模糊聚类算法的大坝监控模型的研究
引用本文:王铁生,华锡生. 基于模糊聚类算法的大坝监控模型的研究[J]. 水利学报, 2003, 34(6): 115-118
作者姓名:王铁生  华锡生
作者单位:河海大学,土木工程学院,江苏,南京,210098
摘    要:将模糊理论和神经网络相结合,建立了基于模糊聚类算法的模糊神经网络的大坝安全监控模型,并针对某一大坝变形水平位移实测数据进行分析,计算结果表明,其拟合和预报精度优于常规统计模型,从而表明这一模型的有效性。

关 键 词:聚类;监控模型;模糊系统
文章编号:0559-9350(2003)06-0115-04
修稿时间:2002-01-21

Building of monitoring model for dam safety based on fuzzy cluster algorithm
WANG Tiesheng. Building of monitoring model for dam safety based on fuzzy cluster algorithm[J]. Journal of Hydraulic Engineering, 2003, 34(6): 115-118
Authors:WANG Tiesheng
Affiliation:College of Civil Engineering,Hohai University
Abstract:The author combinned the fuzzy theory with the neural network and established a dam monitoring model of fuzzy neural network,which was based on the cluster algorithm.An example was given for the analysis of horizontal displacement measured at a dam project.The result shows that the monitoring model is more precise than the regression model.
Keywords:cluster algorithm   monitoring modal   fuzzy system   fuz zy neural network
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