Abstract
Based on grey prediction GM (1,1) model,an integrated grey Support Vector Machine (SVM) model was presented. Through improving the GM (1,1) prediction accuracy based on background value calculation,initial value selection and smooth degree of data sequence,three grey prediction models that are background GM model,initial value GM model,smooth degree GM model,were put forward. Then,combining the advantages of SVM,the prediction results of three grey prediction models were used as the SVM input factor,and the original data sequence was used as the output factor of the SVM. The support vector regression machine was trained to get the optimal structure. The results of experiment show that the model is valid.
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