IMHE OpenIR  > 山地灾害与地表过程重点实验室
Application of Support Vector Machine with Posterior Probability Estimates in Debris Flow Hazard Assessment
Li Xiuzhen1; Kong Jiming2
Corresponding AuthorLi, XZ(李秀珍)
2011
Source PublicationDISASTER ADVANCES
ISSN0974-262X
EISSN2278-4543
Volume4Issue:4Pages:38-44
SubtypeArticle
AbstractSupport Vector Machine (SVM), a new machine learning method based on Statistical Learning Theory, has been widely applied in various fields because of the excellent learning performance and unique advantages in solving small-sample, non-linear and high-dimensional problems. In this paper; we built a multi-class SVM model with posterior probability estimates for hazard assessment of regional debris flow. It is shown by the instances that the SVM model has higher assessment accuracy rate (the accuracy rates for training and testing samples are 90% and 92.86% respectively and the accuracy rate for total samples is 91.18%) and can give a probability belonging to each class as well as a class for debris flow hazard.
KeywordDebris Flow Hazard Assessment Support Vector Machine Posterior Probability
WOS HeadingsScience & Technology ; Physical Sciences
WOS Subject ExtendedGeology ; Meteorology & Atmospheric Sciences ; Water Resources
Indexed BySCI
WOS KeywordCLASSIFICATION ; PREDICTION
Language英语
Quartile4区
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000297139500007
Funding OrganizationNational Natural Science Foundation of China(40802072) ; West Light Foundation of Chinese Academy of Sciences(O8R2140140)
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/5479
Collection山地灾害与地表过程重点实验室
Affiliation1.Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
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
Li Xiuzhen,Kong Jiming. Application of Support Vector Machine with Posterior Probability Estimates in Debris Flow Hazard Assessment[J]. DISASTER ADVANCES,2011,4(4):38-44.
APA Li Xiuzhen,&Kong Jiming.(2011).Application of Support Vector Machine with Posterior Probability Estimates in Debris Flow Hazard Assessment.DISASTER ADVANCES,4(4),38-44.
MLA Li Xiuzhen,et al."Application of Support Vector Machine with Posterior Probability Estimates in Debris Flow Hazard Assessment".DISASTER ADVANCES 4.4(2011):38-44.
Files in This Item:
File Name/Size DocType Version Access License
李秀珍 等 Application of(322KB)期刊论文出版稿开放获取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
[Li Xiuzhen]'s Articles
[Kong Jiming]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li Xiuzhen]'s Articles
[Kong Jiming]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li Xiuzhen]'s Articles
[Kong Jiming]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 李秀珍 等 Application of Support Vector Machine with Posterior.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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