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The Scientific World Journal
Volume 2014, Article ID 193284, 9 pages
http://dx.doi.org/10.1155/2014/193284
Research Article

Structural Damage Identification Based on Rough Sets and Artificial Neural Network

1Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, China
2Key Laboratory of C&PC Structures, Southeast University, Nanjing 211189, China
3State Key Laboratory of Robotics and System, Harbin Institute of Technology, Dazhi Street, Nangang District, Harbin 150001, China

Received 27 February 2014; Accepted 22 April 2014; Published 11 June 2014

Academic Editor: Hua-Peng Chen

Copyright © 2014 Chengyin Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Weichao Sun, Wenhai Li, and Wenfeng Li, “Avionic devices fault diagnosis based on fusion method of rough set and D-S theory,” Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, vol. 41, no. 10, pp. 1902–1909, 2015. View at Publisher · View at Google Scholar