Record Details

Prediction research of China’s import and export trade based on support vector regression

Advances in Applied Economics and Finance

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Field Value
 
Title Prediction research of China’s import and export trade based on support vector regression
 
Creator Zhang, Ling
Fan, Chongjun
Xu, Ziqiang
 
Subject statistical learning; Support vector machine (SVM); Import and export forecast; Small sample
 
Description Abstract: the support vector machine (SVM) is a new type of statistical learning theory, forming a general a study machine based on the theory of structural risk minimization principle, featuring small sample and strong popularization ability ect, avoiding the ‘dimension disaster and has a good generalization ability. This paper uses SVM regression to predict China’s import and export trade volume. The results show that SVM regression has very good prediction effect under the circumstance of small sample.
 
Publisher World Science Publisher
 
Contributor —
 
Date 2012-08-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
 
Format application/x-download
 
Identifier http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/577
 
Source Advances in Applied Economics and Finance; Vol 1, No 4 (2012); 224-227
2167-6348
 
Language eng
 
Relation http://worldsciencepublisher.org/journals/index.php/AAEF/article/view/577/497
 
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