IMHE OpenIR  > 成都山地所知识仓储(2009年以前)
SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK
Wang Xie-kang1; Huang Er1; Cui Peng2
Corresponding AuthorWang Xie-kang
2003-09-01
Source PublicationCHINESE GEOGRAPHICAL SCIENCE
ISSN1002-0063
Volume13Issue:3Pages:262-266
SubtypeArticle
AbstractDebris flow is one of the most destructive phenomena of natural hazards. Recently, major natural hazard, claiming human lives and assets, is due to debris flow in the world. Several practical methods for forecasting debris flow have been proposed, however, the accuracy of these methods is not high enough for practical use because of the stochastic and non-linear characteristics of debris flow. Artificial neural network has proven to be feasible and useful in developing models for nonlinear systems. On the other hand, predicting the future behavior based on a time series of collected historical data is also an important tool in many scientific applications. In this study we present a three-layer feed-forward neural network model to forecast surge of debris flow according to the time series data collected in the Jiangjia Ravine, situated in north part of Yunnan Province of China. The simulation and prediction of debris flow using the proposed approach shows this model is feasible, however, further studies are needed.
KeywordDebris Flow Time Series Artificial Neural Network
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
Language英语
WOS SubjectEnvironmental Sciences
WOS IDWOS:000206553900013
Funding OrganizationNational Natural Science Foundation of China(40025103)
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/10591
Collection成都山地所知识仓储(2009年以前)
山地灾害与地表过程重点实验室
Affiliation1.Sichuan Univ, State Key Lab Hydraul High Speed Flows, Chengdu 610065, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Recommended Citation
GB/T 7714
Wang Xie-kang,Huang Er,Cui Peng. SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK[J]. CHINESE GEOGRAPHICAL SCIENCE,2003,13(3):262-266.
APA Wang Xie-kang,Huang Er,&Cui Peng.(2003).SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK.CHINESE GEOGRAPHICAL SCIENCE,13(3),262-266.
MLA Wang Xie-kang,et al."SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK".CHINESE GEOGRAPHICAL SCIENCE 13.3(2003):262-266.
Files in This Item:
File Name/Size DocType Version Access License
SIMULATION AND PREDI(516KB)期刊论文出版稿开放获取CC BY-NC-NDView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang Xie-kang]'s Articles
[Huang Er]'s Articles
[Cui Peng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang Xie-kang]'s Articles
[Huang Er]'s Articles
[Cui Peng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang Xie-kang]'s Articles
[Huang Er]'s Articles
[Cui Peng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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