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《Journal of Natural Disasters》 2013-05
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Regional landslide susceptibility model based on gray and Elman neural networks

ZHU Li;LU Yimin;LUO Jianping;Key Laboratory of Data Mining & Information Sharing of Ministry of Education,Spatial Information Research Center of Fujian Province,Fuzhou University;  
The susceptibility of landslide is a regional landslide spatial prediction and is the natural attribute of landslide disasters. It closely relates to every factor of disaster-pregnant environment. Based on the Elman neural network algorithm,a trial is made to combine it with gray system analysis method. Main influencing factors of landslides were objectively selected as input variables of Elman neural network,and the optimization problem of variable selection of Elman neural network was resolved. Two landslide sites in different study areas( Minging /Minhou counties and Jianning County,Fujian Province) were trained and fitted with the Elman neural network,and then landslide susceptibility of the study areas was forecasted using the fitted model. A good prediction result was obtained using the proposed methods.
【Fund】: 福建省自然科学基金资助项目(2011J01268);; 国家863计划(2010AA12A208);; 资源与环境信息系统国家重点实验室开放基金(2010KF0008SA)
【CateGory Index】: P642.22
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