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Support vector machine (SVM) has been used in many fields as a new learning method developed in recent years. When dealing with time series forecasting problem one encounters time correlation prior knowledge of time series data. If prior knowledge at hand can be incorporated into Support Vector learning machines, the generalization performance of SVM may be improved efficiently. In order to incorporate...
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