IMHE OpenIR  > 山地灾害与地表过程重点实验室
Alternative TitleApplication of Multi-classification Support Vector Machine in Regionalization of Debris Flow Hazards
李秀珍1,2; 孔纪名2; 李朝凤2
Corresponding Author李秀珍
Source Publication水土保持通报


Other Abstract

Based on the debris flow data collected from 129 villages and towns in the Anning River valley of Liangshan Prefecture, two multi-classification support vector machine models were built to evaluate debris flow hazards of the villages and towns.86 samples from the villages and 65 samples from the towns were randomly selected as training samples and the remainders,as testing samples. Results show that the prediction accuracy of SVM model is improved with the increase of training samples and prediction accuracy of the two SVM models are higher than that of BP neural network models. Therefore, support vector machine method is a new machine learning method with higher precision and better generalization performance than neural network method. It has very broad application prospects and promotion and application values in the practice of debris flow hazard assessment

Keyword多分类支持向量机 泥石流危险性区划 Bp神经网络 凉山州 安宁河流域
Funding Organization中国科学院山地灾害与地表过程重点实验室开放基金“基于支持向量机的潜在滑坡早期判识方法研究”(110100L104) ; 中国科学院“西部之光”人才培养计划项目“基于进化支持向量机的滑坡预测模型研究”(08R2140140)
Citation statistics
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. 多分类支持向量机在泥石流危险性区划中的应用[J]. 水土保持通报,2010,30(5):128-133,157.
APA 李秀珍,孔纪名,&李朝凤.(2010).多分类支持向量机在泥石流危险性区划中的应用.水土保持通报,30(5),128-133,157.
MLA 李秀珍,et al."多分类支持向量机在泥石流危险性区划中的应用".水土保持通报 30.5(2010):128-133,157.
Files in This Item:
File Name/Size DocType Version Access License
多分类支持向量机在泥石流危险性区划中的应(262KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[李秀珍]'s Articles
[孔纪名]'s Articles
[李朝凤]'s Articles
Baidu academic
Similar articles in Baidu academic
[李秀珍]'s Articles
[孔纪名]'s Articles
[李朝凤]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[李秀珍]'s Articles
[孔纪名]'s Articles
[李朝凤]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 多分类支持向量机在泥石流危险性区划中的应用_李秀珍.pdf
Format: Adobe PDF
All comments (0)
No comment.

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