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《Computer Science》 2008-05
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Internet Traffic Forecasting Based on Support Vector Machine Optimized by Genetic Algorithm

ZHANG Ying-lu (No.710 Research Institute,China Shipbuilding Industry Corporation,Yiehang 443003,China)  
The basic theory of time series forecasting based on Support Vector Machine(SVM)is introduced in this pa- per.And Genetic Algorithm(GA)optimizes the parameters of SVM.GA-SVM is firstly applied to forecast future In- ternet traffic including two sets of real data,and compared to the BP and RBF neural network.The results show that SVM is superior to these two kinds of neural network methods in prediction performance.And SVM is the suitable and effective method for forecasting Internet traffic.
【CateGory Index】: TP18;TP393.06
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