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[1]LIU Yong-jian,LIU Yi-jian,ZHANG Bo-you.Seismic Damage Prediction Model Based on Rough Set and Support Vector Machine and Its Application[J].Journal of Seismological Research,2008,31(03):289-295.

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Seismic Damage Prediction Model Based on Rough Set and Support Vector Machine and Its Application

Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume: 31 Number of periods: 2008 03 Page number: 289-295 Column: Public date: 2008-03-23

Title:: Seismic Damage Prediction Model Based on Rough Set and Support Vector Machine and Its Application

Author(s):: LIU Yong-jian¹; 3; LIU Yi-jian²; ZHANG Bo-you³; (1. Guangdong University of Technology, Guangzhou 510006, Guangdong, China)(2. No.407 Brigade, Geology and Mineral Resources Exploration and Development Bureau of Hunan Province, Huaihua 418000, Hunan, China)(3. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, Guangdong, China)

Keywords:: rough set; support vector machine; attribute reduction; seismic damage prediction; conditional information entropy

CLC:: P315.9

DOI:: -

Abstract:: A model for seismic damage prediction of building is proposed based on two integrated intelligent algorithms: attribute reduction algorithm of rough sets and support vector machines.At first, rough set theory is used to acquire the knowledge of classification, which includes decision table construction, attribute discretization, attribute importance ranking, attribute reduction and rule abstract. Then, the key components are extracted as the input of support vector machine. The method can reduce the dimensions of the data and the complexity, and raise the efficiency of training and the accuracy of prediction. The effect extent to the earthquake-resistance performance of these factors can be obtained in the model. Finally, it is validated applying the method to forecast seismic damage of multistory masonry buildings.

References:: -

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Last Update: 2008-03-23