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Support vector regression is based on statistical learning theory under the framework of a new general-purpose machine learning method, which is a effective way to deal with nonlinear classification and nonlinear regression. Due to the comprehensive theoretical basis and excellent learning performance, The technology has become the current international machine learning research community hot spots,...
Economic growth forecasting is important to make the policy on national economic development. Support vector machine (SVM) is a new machine learning method, which seeks to minimize an upper bound of the generalization error instead of the empirical error as in conventional neural networks. In the study, support vector machine and particle swarm optimization is applied in economic growth forecasting,...
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