Study on predicting method for earthquake damage to underground pipelines system based on rough set and support vector machine

Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering

Volumn 17, Issue 2, 2009, Pages 274-280

  Wang, Wei ^a   Ma, Donghui ^a   Su, Jingyu ^a   Guo, Xiaodong ^a   Wang, Zhitao ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Earthquake damage; Rough set; Support vector machine; Underground pipelines system

Indexed keywords

BP-NEURAL NETWORKS; DISPOSAL SYSTEMS; EARTHQUAKE DAMAGE; PREDICTING METHODS; PREDICTION METHODS; ROUGH SET; SVM MODELS; SYSTEM-BASED; UNDERGROUND PIPELINES SYSTEM;

BACKPROPAGATION ALGORITHMS; EARTHQUAKES; FUZZY SETS; IMAGE RETRIEVAL; NEURAL NETWORKS; RAPID SOLIDIFICATION; ROUGH SET THEORY; SUPPORT VECTOR MACHINES; WATER PIPELINES;

PIPELINES;

EID: 65649112810     PISSN: 10050930     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Han Yang. Study on seismic reliability of urban buried pipeline network systems[D]. Dalian: Dalian University of Technology, 2002.
2. Li Xin, Zhou Jing, Chen Jianyun. Seismic reliability analysis of underground pipeline system using artificial neural networks[J]. World Information On Earthquake Engineering, 2001, 27(4): 107-111.
3. Han Yang, Wang Wei. SVM model for realtime diagnostic of water distribution network[J]. Water & Wastewater Engineering, 2007, 33(2): 109-112.
4. Tang Faming, Wang Zhongdong, Chen Mianyun. Classification model of support vector machine based on rough set theory[J]. Ordnance Industry Automation, 2005, 24(3): 62-64.
5. Vapnik V. Statistical learning theory[M]. New York: Wiley, 1998.
6. Zhang Wenxiu, Wu Zhiwei, Liang Jiye, et al. Rough set theory and its application[M]. Beijing: Science Press, 2001.
7. Ma Donghui, Su Jingyu, Guo Xiaodong, et al. Study on the seismic vulnerability of urban infrastructure system in Quanzhou City[R]. Institute of Earthquake Resistance and Disaster Reduction of Beijing University of Technology, 2004.
8. Wang Wei. Study on evaluation methods of cities'(urban agglomerations') ability reducing earthquake disasters[D]. Zhengzhou: Henan University of Technology, 2007.
9. Xue Dingyu, Chen Yangquan. The problem solution of higher applied mathematics by MATLAB[M]. Beijing: Tsinghua Publishing House, 2004.
10. Suykens J A K, Van Gestel T. Least squares support vector machines[M]. Singapore World Scientific, 2002.
11. Feisi technology products R & D center. Neural network theory and realization of MATLAB R2007[M]. Beijing: Publishing House of Electronics Industry, 2007.