节点文献
改进RBF网络及其在悬索桥吊索损伤定位中的应用
Modified RBF Neural Network and Its Application at Sling Damage Location of Suspension Bridges
【摘要】 研究了RBF网络行为的过拟合现象,提出了基于R2+准则与Jackknife校验的改进算法。以润扬大桥南汊悬索桥为背景,在对其吊索损伤分析的基础上,构建了RBF损伤定位网络。研究表明,本文提出的改进RBF网络可以较好地对吊索进行损伤定位。
【Abstract】 By studying an OLS-RBF learning algorithm,a modified algorithm based on R2+ rule and Jackknife validation is presented.After analyzing the sling damage patterns of the Runyang Yangtze river highway bridge-south suspension bridge,the RBF damage location network is constructed,trained and tested. Results show that modified RBF network can effectively locate the sling damage.
【基金】 航空科学基金(2008ZD52040,2008ZD52047)资助项目;中国博士后科学基金(20090451157)资助项目
- 【文献出处】 南京航空航天大学学报 ,Journal of Nanjing University of Aeronautics & Astronautics , 编辑部邮箱 ,2011年01期
- 【分类号】U441.4
- 【被引频次】2
- 【下载频次】112