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The traditional stationary network traffic model (ARIMA) is incapable of describing non-stationary characteristics. In the process of predicting, the accuracy will weaken with the increase of step. As a non-stationary network traffic model, NN (neural network) could make up for the defect of stationary model, which can not describe the non-stationary qualities of the network traffic. However, the...
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