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。
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.
出处
《黑龙江大学工程学报》
2010年第3期33-35,共3页
Journal of Engineering of Heilongjiang University
关键词
裂缝
成因挖掘
模糊神经网络
属性约简
crack
causes mining
fuzzy neural network
attribute reduction
