2013年 第8卷 第3期
《机械工程前沿（英文）》 >> 2013年 第8卷 第3期 doi: 10.1007/s11465-013-0259-5
The research on structural damage identification using rough set and integrated neural network
1. Naval-port Airport Barracks Department of Navy Logistics, Beijing 100841, China
2. PLA University of Science & Technology, Nanjing 210007, China
下一篇 上一篇
摘要
A huge amount of information and identification accuracy in large civil engineering structural damage identification has not been addressed yet. To efficiently solve this problem, a new damage identification method based on rough set and integrated neural network is first proposed. In brief, rough set was used to reduce attributes so as to decrease spatial dimensions of data and extract effective features. And then the reduced attributes will be put into the sub-neural network. The sub-neural network can give the preliminary diagnosis from different aspects of damage. The decision fusion network will give the final damage identification results. The identification examples show that this method can simplify the redundant information to reduce the neural network model, making full use of the range of information to effectively improve the accuracy of structural damage identification.
京公网安备 11010502051620号
