IMHE OpenIR  > 山地灾害与地表过程重点实验室
基于BP神经网络的滑坡风险性评价研究
Alternative TitleResearch of Landslide Risk Assessment Based on BP Neural Network
Language中文
王萌1,2,3; 乔建平1,3; 石莉莉1,2,3
Corresponding Author王萌
2010
Source PublicationInternational Conference on Engineering and Business Management(EBM2010) ; Proceedings of International Conference on Engineering and Business Management(EBM2010)
Pages5343-
Conference Date2010-3-25
Conference Place四川成都
Funding Organization武汉大学;美国James Madison大学;美国科研出版社
Abstract滑坡发生的影响因素众多,其风险性与各因素间多成非线性关系。目前的风险性评价方
法难以满足这些要求。而近年发展起来的神经网络模型属于非线性动态系统,具有符合滑坡风险
性评价的研究特点。因此本文应用GIS 技术和BP 神经网络相结合的方法,以重庆市万州区为示
范区,建立起区域滑坡风险性评价流程。以滑坡风险程度分级标准为基础构造学习样本集,通过
神经网络的自学习功能,建立起区域滑坡风险度等级与各影响因素之间复杂的非线性关系。结果
表明:用万州区样本训练的神经网络收敛的较好,训练好的神经网络可达到较高的识别率和可信
度。因此利用BP 神经网络进行滑坡风险性评价具有可行性。
Other AbstractThe inducing factors of landslide are numerous. Commonly, they have nonlinear relationship with landslide risk. Current methods cannot meet the needs of evaluating landslide risk. The artificial neural network which is developing in recent years belongs to a kind of nonlinear dynamic system and has characteristics which can be fit for landslide risk assessment. This work presents the result of applying the GIS technology and BP neural network in establishing the process of regional landslide risk assessment with Wanzhou district of Chongqing city as the study area. Based on the standard of landslide risk classification, learning sample set was set up. Subsequently, the complicated nonlinear relationship between regional landslide risk grades and inducing factors was established by neural network self-study ability. The result shows that the sample set of Wanzhou district is convergent well in BP neural network and the trained one has higher recognition and reliability. Consequently, the method is feasible for landslide risk assessment.
KeywordBp神经网络 滑坡 风险性评价
ISBN978-1-935068-05-1
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6288
Collection山地灾害与地表过程重点实验室
Affiliation1.中国科学院水利部成都山地灾害与环境研究所
2.中国科学院研究生院
3.中国科学院山地灾害与地表过程重点实验室
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
王萌,乔建平,石莉莉. 基于BP神经网络的滑坡风险性评价研究[C],2010:5343-.
Files in This Item:
File Name/Size DocType Version Access License
王萌 等:基于BP神经网络的滑坡风险性评(2933KB)会议论文 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[王萌]'s Articles
[乔建平]'s Articles
[石莉莉]'s Articles
Baidu academic
Similar articles in Baidu academic
[王萌]'s Articles
[乔建平]'s Articles
[石莉莉]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[王萌]'s Articles
[乔建平]'s Articles
[石莉莉]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 王萌 等:基于BP神经网络的滑坡风险性评价研究_王萌.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.