A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection
Joint Authors
Jiang, Shao-Fei
Zhang, Chun-Ming
Wu, Zhao-Qi
Fu, Chun
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states.
Firstly, rough set is used in the model to deal with a large volume of data; secondly, a revised training algorithm is developed to improve the capabilities of the CPN model; and lastly, the least input vectors are input to the revised CPN (RCPN) model, hence the rough set-based RCPN is proposed in the paper.
To validate the model proposed, numerical experiments are conducted, and, as a result, six damage patterns have been successfully identified in a steel frame.
The influence of measurement noise, the network models adopted, and the data preprocessing methods on damage identification is also discussed in the paper.
The results show that the proposed model not only has good damage detection capability and noise tolerance, but also significantly reduces the data storage requirement and saves computing time.
American Psychological Association (APA)
Jiang, Shao-Fei& Fu, Chun& Zhang, Chun-Ming& Wu, Zhao-Qi. 2013. A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-503245
Modern Language Association (MLA)
Jiang, Shao-Fei…[et al.]. A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-503245
American Medical Association (AMA)
Jiang, Shao-Fei& Fu, Chun& Zhang, Chun-Ming& Wu, Zhao-Qi. A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-10.
https://search.emarefa.net/detail/BIM-503245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503245