摘要：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.
关键词：statistical learning;Support vector machine (SVM);Import and export forecast;Small sample
