Combination Prediction Based on RBF-SVM Model for Short-Term Trafficflow
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For short-term trafficflow prediction,this paper applies a combination prediction base on RBF-SVM model.At first,it is to use RBF and SVM to get separately two prediction values,then each error can be calculated by each prediction value .Using the two errors to adjust the two weights.At last adding the prediction values multiplied by weights can get a more approximate value to the real value. Simulated values demonstrate that it is an accurate and efficient method.
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