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Optical Signal-to-Noise Ratio Prediction using Neural Networks for Multicast Light-Trees in Optical Networks

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Abstract

An adaptive method based on neural networks is proposed, which can simultaneously predict the signal-to-noise ratio at all destination nodes of one multicast light-tree. Results show the method is fast and has high accuracy.

© 2019 The Author(s)

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