摘要
提出了一种基于多因素的混凝土中钢筋腐蚀判别方法.该方法综合考虑影响钢筋腐蚀的多个因素的共同作用,克服了以往单因素判别钢筋腐蚀不够客观的弊端.本文首先通过相关分析比较各个影响因素的相关性,然后通过变量聚类对多个影响因素分类,选出典型变量建立基于支持向量机的钢筋腐蚀状态分类器,最后在实际工程中检验了其判断的准确性,并对比了以往曾有学者根据Fisher准则建立的分类器的判别结果.结果表明,基于支持向量机的分类器分类准确率优于基于Fisher准则的分类器.
A method of evaluating corrosion in reinforced concrete is introduced,it takes important factors that have close relationship with corrosion severity into account.First,it compares the correlations between factors.Second,it classifies the impact factors by cluster analysis and picks out the most representative factors.And then,it establishes the classification model of evaluating corrosion severity based on support vector machine.At last,we compared the performances of classifier based on SVM with the class...
出处
《电子器件》
CAS
2007年第5期1935-1938,共4页
Chinese Journal of Electron Devices
基金
国家自然科学基金项目资助(50371011)
关键词
钢筋腐蚀
小样本
多因素
聚类分析
支持向量机
corrosion
small sample
multi-factor
cluster analysis
support vector machine（SVM）
