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| LS-SVM在桥梁结构健康预测评估中的研究 | |
| 引用本文： | 于重重,王竞燕,谭励,涂序彦,杨扬.LS-SVM在桥梁结构健康预测评估中的研究[J].微电子学与计算机,2011,28(6). |
| 作者姓名： | 于重重 王竞燕 谭励 涂序彦 杨扬 |
| 作者单位： | 1. 北京工商大学,计算机与信息工程学院,北京,100048;北京科技大学,信息工程学院,北京,100083 2. 北京工商大学,计算机与信息工程学院,北京,100048 3. 北京科技大学,信息工程学院,北京,100083 |
| 基金项目： | 北京市教委面上项目，北京市中青年骨干教师项目 |
| 摘 要： | 桥梁的结构变形包含的桥梁结构内涵信息丰富,具有非线性、时序性和样本容量小的特点.利用支持向量机,以杭州湾大桥实测变形数据为研究对象,提出了基于LS-SVM的桥梁结构变形预测模型,通过实验证明了运用其对桥梁结构健康状况进行评估的可行性和有效性,并且通过实验结果对比显示了最小二乘支持向量机在变形预测中的优势. |
| 关 键 词： | 桥梁结构健康监测 变形 最小二乘支持向量机 |
Study on LS-SVM in Evaluation of Bridge Structural Health Monitoring |
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| YU Chong-chong,WANG Jin-yan,TAN Li,TU Xu-yan,YANG Yang.Study on LS-SVM in Evaluation of Bridge Structural Health Monitoring[J].Microelectronics & Computer,2011,28(6). | |
| Authors: | YU Chong-chong WANG Jin-yan TAN Li TU Xu-yan YANG Yang |
| Affiliation: | YU Chong-chong1,2,WANG Jin-yan2,TAN Li1,TU Xu-yan2,YANG Yang2(1 Dept.of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China,2 Dept.of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100037,China) |
| Abstract: | Structural distortion of bridge contains rich connotation information of bridge structures and possesses the features of nonlinear,sequential and small sample capacity.In this article,the calculated model of bridge structural distortion is given out by application of support vector machine and the practical monitoring data of Hangzhou Bay Bridge are taken as the study object.The feasibility and effectiveness of evaluation over bridge structural health state have been proved through test,and the superiority ... |
| Keywords: | bridge structural health monitoring distortion least squares support vector machine |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |
