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Aiming at the long-range dependence and short-range dependence characteristics of backbone network traffic, a traffic forecasting model based on Modified Ensemble Empirical Mode Decomposition (MEEMD) and Quantum Neural Network (QNN) is presented. Firstly, the MEEMD method is employed to decompose the traffic data sequence into intrinsic mode function (IMF) component. Then, the Quantum Neural Network...
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