华南地震2016，Vol.36Issue(2)：107-113,7.DOI:10.13512/j.hndz.2016.02.017
基于两阶段支持向量机的群体建筑物震害预测方法
Seismic Damage Prediction Method of Building Groups Based on a Two-stage Support Vector Machine
摘要
Abstract
In conventional seismic damage prediction of building groups, the researchers always make a simple analogy with existing data of damaged buildings. Due to the influence of special geological environment, particular earthquake scenarios, together with the errors in handiwork statistics, there are a certain amount of outliers in dataset. The random noise in the dataset will have a serious impact on prediction accuracy. Thus, this paper introduces a two-stage support vector machine method. In the first step, the authors add different weight values to normal data and outliers respectively. Then a weighted support vector machine is proposed to build the prediction model of building groups. By using a cross-validation approach, the paper empirically tests the proposed model on 640 buildings in Wenchuan earthquake. The results show that the proposed method can not only effectively detect the outliers, but also make a fast accurate prediction. It is capable to be applied to the actual seismic damage prediction of urban buildings.关键词
群体建筑物/震害预测/支持向量机/交叉验证Key words
Building groups/Seismic damage prediction/Support vector machine/Cross-validation分类
建筑与水利引用本文复制引用
刘燕萍,董伟,黄毕双,李晋,杨芳..基于两阶段支持向量机的群体建筑物震害预测方法[J].华南地震,2016,36(2):107-113,7.基金项目
“十二五”国家科技支撑计划项目(2015BAK18B01)、广东省科技计划项目(2015A020217007)、深圳市科技创新委员会项目(ZDSYS20140509155229805、 JCYJ20140630144136828) （2015BAK18B01）
