IMHE OpenIR  > 山地灾害与地表过程重点实验室
Alternative TitleApplication of BP neural network to the hazard assessment of debris flow based on Matlab
李秀珍1,2; 孔纪名1,2; 李朝凤1,2
Corresponding Author李秀珍
Source Publication工程勘察


Other Abstract

Because of the developing environment,the occurring conditions and the randomness,uncertainty and fuzziness of the inducing factors for debris flow,debris flow is a very complex nonlinear system.Artificial neural network is of the stronger self-organization,self-adaptability and self-learning capability,which is specially suited to solve nonlinear problems.BP neural network based on Matlab is set up and applied in regional debris flow hazard assessment in Dechang county of Anninghe watershed.The model gains a better application in practical projects and the accuracy of the assessment is above 95 %.The said method solves the complex relationship between the indices and the grades for the hazard assessment of debris flow.It is simple and its assessment results are not easily affected by the human factors.It is effective and is worth to popularization and application in the hazard assessment of debris flow.

Keyword泥石流 危险性评价 Bp神经网络 Matlab
Subject AreaP642.23
Indexed ByCSCD
Funding Organization国家自然科学基金(40802072) ; 中科院“西部之光”人才培养计划项目(08R2140140) ; 川西山地灾害危险性评估项目(110900k213)
Citation statistics
Cited Times:6[CSCD]   [CSCD Record]
Document Type期刊论文
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
李秀珍,孔纪名,李朝凤. 基于Matlab的BP神经网络在泥石流危险性评价中的应用[J]. 工程勘察,2010,38(1):47-50.
APA 李秀珍,孔纪名,&李朝凤.(2010).基于Matlab的BP神经网络在泥石流危险性评价中的应用.工程勘察,38(1),47-50.
MLA 李秀珍,et al."基于Matlab的BP神经网络在泥石流危险性评价中的应用".工程勘察 38.1(2010):47-50.
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