Prediction of congestion degree for optical networks based on bp artificial neural network

Prediction of congestion degree is critical for optical networks to cooperate with the network control strategies. Proposed in this paper is a method of congestion degree prediction for optical networks based on BP artificial neural network. The principles are presented, and the simulation results show that our proposed is competent for network congestion degree prediction.

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