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

Ling Zhang, Chongjun Fan, Ziqiang Xu

Abstract


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.


Keywords


statistical learning; Support vector machine (SVM); Import and export forecast; Small sample

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