Integrated Neural Networks and Its Application to Damage Identification in Structures

摘要：

From the point of the practice of damage identification in engineering structures, the integrated neural networks damage identification technology was put forward based on the information fusion theory. Taking the sub-neural networks as primary damage identification from different sides, the conclusion is gained through decision-making fusion. The realizable policy of the identification system and the established principles of the sub- neural networks are presented. It can be educed from the examples that it takes full advantages of various characteristics information, and it also improves the identification rate efficiently as well.

关键词： Engineering structure Damage identification Integrated neural networks Information fusion Identification rate

作者: Yuegang Luo Zhaohui Ren Bangchun Wen

作者单位: College of Civil Engineering and Architecture, Dalian Nationalities University, Dalian 116600, China College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China

会议类型: 国际会议

会议名称: 结构、材料与环境健康监测国际会议(International Conference on Health Monitoring og Structure,Material and Environment)

会议地点: 南京

会议语种:英文

页码: 560-564

在线出版日期: 2007-10-16（万方平台首次上网日期，不代表论文的发表时间）