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《Journal of Northwest University(Natural Science Edition)》 2008-06
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The evaluation of loess slope stability based on combination of information diffusion theory and BP neural metwork

HE Shu 1.2,WANG Jia-ding 1,WANG Huan 3,HAN Xiao-meng 1 (1.State Key Laboratory of Continental Dynamics/Department of Geology,Northwest University,Xi'an 710069,China;2.Department of Resource & Environmental Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China;3.Xi'an Insititute of Reconnaissance Surveying and Mapping,Xi'an 710054,China)  
Aim To establish an evaluation model of the prediction of the slope stability based on combination of information diffusion theory and BP neural network.Methods The 24 sets of slope data in loess area were collected.The fuzzy relationships between every evaluating elements and safety coefficient were established by the information diffusion principle.An evaluation model was established based on combination of information diffusion theory and BP neural network and this model can wel1 resolve the phenomenon of less practical samples,the existing contradictory samples.Results The model was verified by 4 series data of collapsing loess and the result is very good.Conclusion The result shows that the model is more useful and valid than the common neural network.
【Fund】: 国家自然科学基金资助项目(40572157);; 高等学校博士点专项科研基金资助项目(20050697013)
【CateGory Index】: P642.131
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