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基于模糊神经网络的混凝土裂缝成因挖掘
引用本文:马中飞,朱万飞,韩世栋,李子阳.基于模糊神经网络的混凝土裂缝成因挖掘[J].黑龙江水专学报,2010,37(3):33-35.
作者姓名:马中飞  朱万飞  韩世栋  李子阳
作者单位:1. 利辛县水务局,安徽,亳州,236704
2. 国网电力科学研究院,南京,210003
3. 南京水利科学研究院,南京,210029
摘    要:将模糊神经网络的数据挖掘方法运用到混凝土结构裂缝成因分析中,首先通过模糊化过程对连续数据离散化,然后运用模糊神经网络训练监测数据,找出隐藏规则。同时,通过属性约简使模糊神经网络的结构得以化简。结合某重力拱坝实测资料,分析了基于模糊神经网络方法挖掘混凝土坝裂缝产生的主要成因的可行性。

关 键 词:裂缝  成因挖掘  模糊神经网络  属性约简

Concrete Crack Causes Mining by Fuzzy Neural Network
MA Zhong-fei,ZHU Wan-fei,HAN Shi-dong,LI Zi-yang.Concrete Crack Causes Mining by Fuzzy Neural Network[J].Journal of Heilongjiang Hydraulic Engineering College,2010,37(3):33-35.
Authors:MA Zhong-fei  ZHU Wan-fei  HAN Shi-dong  LI Zi-yang
Affiliation:1.Lixin Water Resources Bureau,Bozhou 236704,Anhui,China;2.Nanjing Automation Research Institute,Nanjing 210003,China;3.Nanjiang Hydraulic Research Institute,Nanjing 210029,China)
Abstract:Based on fuzzy neural network data mining method,concrete structure crack causes are explored.The continuous data is dispersed through fuzzy process.Then the fuzzy neural network is taken to train monitoring data to find rules.Furthermore,the fuzzy neural network structure will be simplified through attribute reduction.The practical engineering project analysis result has shown that the fuzzy neural network can be used to study concrete dam crack causes.
Keywords:crack  causes mining  fuzzy neural network  attribute reduction
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